One-way telemetry network topology control system for coordinating distributed resource management

Abstract

The application provides a unidirectional telemetry network topology control system for coordinating distributed resource management, and belongs to the technical field of network topology control. Each resource node of the system only uses locally available data to operate autonomously and transmits operation telemetry to a dedicated data aggregation center. The data aggregation center receives and processes telemetry streams without issuing control instructions to the nodes. The topology contains four functional layers: a local execution layer residing on each resource node, a unidirectional telemetry transmission layer, an evaluation layer that processes aggregated telemetry to assess performance, and an external interface layer that packages aggregated capacity for external transactions. The unidirectional constraint eliminates the single point of failure risk inherent in bidirectional instruction-control architectures, enabling robust autonomous node operation while preserving the advantages of coordinated access.

Description

Technical Field

[0001] This invention belongs to the field of network topology control technology, specifically relating to a unidirectional telemetry network topology control system for coordinating distributed resource management, particularly to a network architecture for managing geographically distributed resource nodes, and more specifically, to a hierarchical network topology that forces unidirectional data flow from autonomous resource nodes to a central data aggregation center, enabling coordinated external capacity exchange participation without requiring any centralized operation control of individual nodes. Background Technology

[0002] Existing distributed resource management systems generally employ bidirectional communication between a central platform and peripheral nodes. In these architectures, the central platform collects telemetry data from the nodes and, based on aggregation analysis, issues operational instructions to each node. This bidirectional dependency creates several fundamental limitations.

[0003] First, if the communication link between a node and the central platform is interrupted, the node loses its ability to operate effectively because it relies on instructions from the central computing center. Second, the central platform becomes a single point of failure: if it fails, all connected nodes will be affected simultaneously. Third, as the number of nodes increases, the central platform must handle increasingly complex coordination problems in real time, creating a computational bottleneck. Fourth, the two-way communication channel doubles the attack surface for cybersecurity threats because both uplink and downlink paths must be protected.

[0004] Another approach completely eliminates the central platform, allowing nodes to communicate directly with each other, forming a peer-to-peer mesh. While this eliminates the risk of single points of failure, it introduces new challenges. Without any central coordination, it's impossible to present the collective capacity of all nodes as a uniform product to external trading parties. Each node must independently negotiate its own external access, losing the economies of scale that aggregation offers. Furthermore, peer-to-peer communication grows quadratically with the number of nodes, causing network congestion.

[0005] Recent developments have introduced hybrid architectures where some computation occurs on edge nodes while others remain in the cloud. However, these hybrid systems always maintain a two-way control path: the cloud retains the authority to oversee edge decisions, push configuration updates, or issue emergency commands. The fundamental limitations of centralized control remain, merely distributed between the edge and cloud layers, rather than being eliminated.

[0006] There is a need for network topology design that can achieve the resilience advantage of autonomous node operation while retaining the coordinated access advantage of centralized aggregation, without relying on any bidirectional control channel between the data aggregation center and resource nodes.

[0007] Existing distributed resource management systems suffer from the following main technical problems: (1) Single point of failure risk. Any failure of the central platform will affect the operation of all connected nodes, making it impossible to continue to make decisions independently.

[0008] (2) Communication bottleneck. The central platform must process the data gathered from all nodes and calculate coordination instructions in real time. As the number of nodes increases, the computational complexity increases exponentially.

[0009] (3) The network security attack surface has expanded. The two-way communication channel provides attackers with two intrusion paths: they can either send false telemetry data to deceive the platform through the uplink or inject malicious commands to control nodes through the downlink.

[0010] (4) Node operational autonomy is impaired. When the communication link is interrupted, the node is unable to continue making decisions that should be supported by local information, leading to a cascading of system-level failures. Summary of the Invention

[0011] This invention provides a unidirectional telemetry network topology control system for coordinating distributed resource management, which enforces strict unidirectional data flow constraints. In this system, resource nodes operate with complete autonomy and exclusively send telemetry data out to the data aggregation center. The data aggregation center never transmits scheduling instructions to any node.

[0012] The present invention employs the following technical solution.

[0013] A unidirectional telemetry network topology control system for coordinating distributed resource management includes: The local execution layer consists of autonomous processing logic residing on each resource node, and is responsible for making all real-time operational decisions using locally available data. The unidirectional transmission layer consists of communication channels that transmit telemetry data only from resource nodes to the data aggregation center, and there is no reverse channel for operation commands. The evaluation layer, residing in the data aggregation center, processes aggregated telemetry to derive performance evaluations for individual nodes and collective resource clusters. The external interface layer, also residing in the data aggregation center, packages the assessed collective capacity into a form suitable for external service commitments.

[0014] Furthermore, one-way constraints are enforced at the protocol level by configuring resource nodes as publish-only endpoints and data aggregation centers as subscribe-only endpoints. Inbound messages at each resource node are filtered to reject any payload that goes beyond the transport layer response.

[0015] Furthermore, the evaluation layer maintains a record for each resource node derived solely from telemetry calculated from the inbound data stream, without communicating any evaluation results back to the resource node.

[0016] Furthermore, the external interface layer constructs a collective capacity data packet based on the indicators of each node in the evaluation layer; If communication between the resource node and the data aggregation center is interrupted, the resource node continues to operate autonomously indefinitely using locally available data, and its local decision-making capabilities are not degraded in any way.

[0017] Furthermore, the management channel, which is architecturally isolated from the unidirectional transport layer, allows non-operational messages, including firmware updates and certificate renewals, but this management channel is rate-limited and requires manual authorization. Adding a new resource node to the topology only requires establishing an outbound telemetry flow from the new node to the data aggregation center, without requiring any modification to existing nodes or any platform-to-node communication infrastructure.

[0018] Furthermore, the hardware or firmware level filter is implemented using one of the following: an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) with a fixed unidirectional bit stream, or a trusted execution environment (TEE) that enforces a packet inspection policy that only allows transport layer acknowledgment frames to pass through to the resource node. Each resource node independently obtains time references and external rate information from publicly available broadcast sources, without needing any synchronization signals relayed through a data aggregation center. This allows coordinated resource cluster behavior to arise from independent local decisions rather than from centrally allocated coordination signals.

[0019] Furthermore, the evaluation layer constructs a confidence envelope per node by maintaining a rolling statistical distribution of historically observed capacity availability and derives the committed resource cluster capacity from the configurable lower bound percentile of the distribution, such that the probability of the resource cluster failing to deliver the committed amount remains below a predetermined threshold, and wherein the confidence envelope narrows with the accumulation of additional telemetry samples over time.

[0020] Furthermore, a method for coordinating distributed resource nodes in a unidirectional telemetry network topology control system for coordinating distributed resource management in the absence of centralized control includes the following steps: (a) Each resource node operates autonomously using only locally available data to make all operational decisions; (b) Each resource node transmits telemetry data to the data aggregation center through a unidirectional channel that prohibits reverse command transmission, wherein each resource node enforces the unidirectional constraint through a hardware or firmware-level packet filter that rejects inbound messages other than transport layer responses; (c) Process aggregated telemetry data at the data aggregation center to characterize the operational status of each node and the resource cluster capacity; and (d) Package the assessed resource cluster capacity for output to an external system interface.

[0021] Furthermore, a system for coordinating distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes: Multiple resource nodes, each resource node including an embedded processor, local sensors and a network interface with hardware or firmware level filters configured to reject inbound messages other than transport layer acknowledgments; The data aggregation center includes a processor, a memory, and a subscription interface, wherein the subscription interface is configured to receive telemetry data from the plurality of resource nodes; A one-way communication network connects the resource nodes and the data aggregation center, wherein the network transmits data only from the resource nodes to the data aggregation center, and there is no operational data path from the data aggregation center to any resource node; and The instructions stored in the memory of the data aggregation center, when executed by the processor, cause the processor to derive the operational status indicators of each node from the received telemetry data, construct a resource cluster capacity assessment based on the indicators of each node, and format the resource cluster capacity for output to the external system interface. The data aggregation center does not have an interface that can transmit operation instructions to any resource node. The hardware filter on the network interface operates at the packet level, maintaining a whitelist of allowed inbound message types and dropping all other traffic before application layer processing.

[0022] Furthermore, the decision-making logic of each resource node is executed entirely on that node, without any real-time dependence on the data aggregation center; The data aggregation center maintains a statistical model for each node to estimate capacity from historical telemetry patterns, rather than verifying capacity by issuing test commands; The data aggregation center has no outbound network interface, logical port, or protocol endpoint connected to the unidirectional transport layer or any resource node, so that the prohibition of scheduling instructions is enforced through the physical absence of the transport path rather than software-level access control. Furthermore, the prohibition covers not only operation instructions, but also suggested schedules, suggested operating configurations, non-binding suggestions, incentive signals, and any information that may affect the autonomous operation decisions of resource nodes.

[0023] Furthermore, the system that coordinates distributed resource nodes constructs quantified capacity assessment data based on historical telemetry data and statistical models, without needing to send query commands to resource nodes or receive query responses.

[0024] Furthermore, the telemetry transmission in step (b) adopts a publish-subscribe messaging protocol, wherein each resource node is configured to publish only to the endpoint and the data aggregation center is configured to subscribe only to the endpoint; The processing in step (c) includes constructing a per-node confidence envelope from a rolling statistical distribution of historically observed capacity availability and deriving the committed resource cluster capacity from the configurable lower bound percentile of the distribution.

[0025] Furthermore, a method for managing distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes the following steps: (1) At each resource node, all operational decisions are made using only locally available data, including local sensor readings, locally cached reference data, and independently acquired time synchronization and rate information. No data transmitted from the data aggregation center is received or used. (2) Each resource node autonomously transmits telemetry data representing its operational status to the data aggregation center, wherein the telemetry transmission is entirely initiated by the local execution logic of each resource node; (3) In the data aggregation center, only the operational status indicators of each node are derived from the autonomously transmitted telemetry data; no resource nodes are queried or polled. (4) Construct a resource cluster capacity assessment based on the indicators of each node and output it to the external system interface.

[0026] The beneficial effects of the present invention are as follows: Compared with the prior art, the technical effects of the present invention include: (1) Fault isolation. When the central platform fails, all resource nodes continue to operate autonomously without being affected. When a node fails, the remaining nodes and the central system continue to operate normally, achieving complete fault isolation.

[0027] (2) Linear scalability. The system capacity grows linearly with the number of nodes, without the exponential coordination complexity found in bidirectional systems. Adding a new node only requires establishing its outbound telemetry flow, without modifying any downlink infrastructure of existing nodes or the central platform.

[0028] (3) Security by design. One-way constraints eliminate the attack surface of downlink instruction injection at the architecture level, preventing attackers from cascading control of all nodes by controlling the central platform.

[0029] (4) From passive monitoring to active market participation. The statistical capacity model of the assessment layer enables the system to transform from passive telemetry observation to constructing tradable capacity commitments, and to become an active market participant that can participate in external service arrangements, without the need for reverse control channels. Attached Figure Description

[0030] Figure 1This is a block diagram illustrating a four-layer unidirectional network topology, showing the relationship between resource nodes with a local execution layer, a unidirectional transport layer, and a data aggregation center containing an evaluation layer and an external interface layer.

[0031] Figure 2 It is a detailed diagram of the unidirectional transport layer, showing the publish-subscribe protocol architecture, hardware-level message filtering, response paths, and architecturally isolated management channels.

[0032] Figure 3 This is a fault mode analysis diagram, showing three scenarios: node failure, central failure, and partial transmission interruption, illustrating the graceful degradation characteristics of the topology. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, any other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0034] like Figure 1 As shown, the present invention provides a unidirectional telemetry network topology control system for coordinating distributed resource management, comprising: The local execution layer consists of autonomous processing logic residing on each resource node, and is responsible for making all real-time operational decisions using locally available data. The unidirectional transmission layer consists of communication channels that transmit telemetry data only from resource nodes to the data aggregation center, and there is no reverse channel for operation commands. The evaluation layer, residing in the data aggregation center, processes aggregated telemetry to derive performance evaluations for individual nodes and collective resource clusters. The external interface layer, also residing in the data aggregation center, packages the assessed collective capacity into a form suitable for external service commitments.

[0035] In a preferred but non-limiting embodiment of the present invention, the one-way constraint is enforced at the protocol level by configuring resource nodes as publish-only endpoints and data aggregation centers as subscribe-only endpoints, and inbound messages at each resource node are filtered to reject any load that exceeds the transport layer response.

[0036] It should be noted that the methods for filtering inbound messages at each resource node include: performing hardware or firmware filtering on the node's network interface, that is, only allowing transport layer acknowledgment frames (ACK) to enter, and discarding all other inbound frames before they reach the application layer.

[0037] In a preferred but non-limiting embodiment of the present invention, the evaluation layer maintains a record for each resource node derived solely from telemetry calculated from the inbound data stream, without communicating any evaluation results back to the resource node.

[0038] It should be noted that each node record derived from telemetry calculated solely from the inbound data stream includes: real-time node operating parameters, equipment status, environmental measurement data, event notifications, performance summary over a period of time, historical capacity utilization distribution D_i, and confidence envelopes (committable capacity ranges).

[0039] In a preferred but non-limiting embodiment of the present invention, the external interface layer constructs a collective capacity data packet based on the indicators of each node in the evaluation layer, so that nodes with more favorable indicators can make a greater contribution to the collective data packet. If communication between the resource node and the data aggregation center is interrupted, the resource node continues to operate autonomously indefinitely using locally available data, and its local decision-making capabilities are not degraded in any way.

[0040] In a preferred but non-limiting embodiment of the present invention, an architecturally isolated management channel from the unidirectional transport layer allows non-operational messages, including firmware updates and certificate renewals, and this management channel is rate-limited and requires manual authorization. It should be noted that the management channel, which is isolated from the unidirectional transport layer in terms of architecture, is an independent network interface, an independent logical port, or an independent authentication domain. The management channel and the telemetry channel do not share paths or use the same protocols to prevent management messages from being mistaken for operation commands. Even if injected by an attack, it will not affect the node's local decision-making.

[0041] Adding a new resource node to the topology only requires establishing an outbound telemetry flow from the new node to the data aggregation center, without requiring any modification to existing nodes or any platform-to-node communication infrastructure.

[0042] In a preferred but non-limiting embodiment of the present invention, the hardware or firmware level filter is implemented using one of the following: an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) with a fixed unidirectional bit stream, or a trusted execution environment (TEE) that enforces a packet inspection policy that only allows transport layer acknowledgment frames to pass through to the resource node. Each resource node independently obtains time references and external rate information from publicly available broadcast sources, without needing any synchronization signals relayed through a data aggregation center. This allows coordinated resource cluster behavior to arise from independent local decisions rather than from centrally allocated coordination signals.

[0043] In a preferred but non-limiting embodiment of the invention, the evaluation layer constructs a per-node confidence envelope by maintaining a rolling statistical distribution of historically observed capacity availability (conditioned on the most recent telemetry background for each node) and derives the committed resource cluster capacity from the configurable lower percentile of the distribution, such that the probability that the resource cluster cannot deliver the committed amount remains below a predetermined threshold, and wherein the confidence envelope narrows with additional telemetry samples accumulated over time.

[0044] In a preferred but non-limiting embodiment of the present invention, a method for coordinating distributed resource nodes in a unidirectional telemetry network topology control system for coordinating distributed resource management in the absence of centralized control includes the following steps: (a) Each resource node operates autonomously using only locally available data to make all operational decisions; (b) Each resource node transmits telemetry data to the data aggregation center through a unidirectional channel that prohibits reverse command transmission, wherein each resource node enforces the unidirectional constraint through a hardware or firmware-level packet filter that rejects inbound messages other than transport layer responses; (c) Process aggregated telemetry data at the data aggregation center to characterize the operational status of each node and the resource cluster capacity; and (d) Package the assessed resource cluster capacity for output to an external system interface.

[0045] In a preferred but non-limiting embodiment of the present invention, a system for coordinating distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes: Multiple resource nodes, each resource node including an embedded processor, local sensors and a network interface with hardware or firmware level filters configured to reject inbound messages other than transport layer acknowledgments; The data aggregation center includes a processor, a memory, and a subscription interface, wherein the subscription interface is configured to receive telemetry data from the plurality of resource nodes; A one-way communication network connects the resource nodes and the data aggregation center, wherein the network transmits data only from the resource nodes to the data aggregation center, and there is no operational data path from the data aggregation center to any resource node; and The instructions stored in the memory of the data aggregation center, when executed by the processor, cause the processor to derive the operational status indicators of each node from the received telemetry data, construct a resource cluster capacity assessment based on the indicators of each node, and format the resource cluster capacity for output to the external system interface. The data aggregation center does not have an interface that can transmit operation instructions to any resource node. The hardware filter on the network interface operates at the packet level, maintaining a whitelist of allowed inbound message types and dropping all other traffic before application layer processing.

[0046] In a preferred but non-limiting embodiment of the present invention, the decision-making logic of each resource node is executed entirely on that node, without any real-time dependence on the data aggregation center; The data aggregation center maintains a statistical model for each node to estimate capacity from historical telemetry patterns, rather than verifying capacity by issuing test commands; The data aggregation center has no outbound network interface, logical port, or protocol endpoint connected to the unidirectional transport layer or any resource node, so that the prohibition of scheduling instructions is enforced through the physical absence of the transport path rather than software-level access control. Furthermore, the prohibition covers not only operation instructions, but also suggested schedules, suggested operating configurations, non-binding suggestions, incentive signals, and any information that may affect the autonomous operation decisions of resource nodes.

[0047] In a preferred but non-limiting embodiment of the present invention, the system that coordinates distributed resource nodes constructs quantified capacity assessment data based on historical telemetry data and statistical models, without needing to send query commands to resource nodes or receive query responses.

[0048] In a preferred but non-limiting embodiment of the present invention, the telemetry transmission in step (b) adopts a publish-subscribe messaging protocol, wherein each resource node is configured as a publish-only endpoint and the data aggregation center is configured as a subscribe-only endpoint; The processing in step (c) includes constructing a per-node confidence envelope from a rolling statistical distribution of historically observed capacity availability and deriving the committed resource cluster capacity from the configurable lower bound percentile of the distribution.

[0049] In a preferred but non-limiting embodiment of the present invention, a method for managing distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes the following steps: (1) At each resource node, all operational decisions are made using only locally available data, including local sensor readings, locally cached reference data, and independently acquired time synchronization and rate information. No data transmitted from the data aggregation center is received or used. (2) Each resource node autonomously transmits telemetry data representing its operational status to the data aggregation center, wherein the telemetry transmission is entirely initiated by the local execution logic of each resource node; (3) In the data aggregation center, only the operational status indicators of each node are derived from the autonomously transmitted telemetry data; no resource nodes are queried or polled. (4) Construct a resource cluster capacity assessment based on the indicators of each node and output it to the external system interface.

[0050] Specifically, in the local execution layer, each resource node contains an embedded processing unit capable of executing decision logic as autonomous processing logic using only locally available inputs. These inputs include sensor readings from the node's physical device, locally cached reference data (such as rate tables or device specifications), and time synchronization signals received from publicly broadcast sources (such as publicly available rate sources).

[0051] The local execution layer is designed to continue operating even if it permanently stops receiving any data from the data aggregation center. If the communication link with the platform is interrupted, the node continues to make operational decisions based on its local input. As the locally cached reference data becomes stale, the quality of the decisions may gradually decline, but the node remains functional.

[0052] The specific decision-making logic implemented within the local execution layer is not constrained by this invention. Different nodes can employ different algorithms, ranging from simple rule-based logic to complex mathematical optimization. The architectural contribution of this layer lies in ensuring that regardless of the decision-making logic used, it is executed entirely on the node itself, without any real-time dependency on a data aggregation center.

[0053] Crucially, the local execution layer can operate without any real-time synchronization signals from the data aggregation center or other nodes. Unlike distributed reinforcement learning or consensus-based systems that rely on centrally allocated timestamps, shared state vectors, or real-time rate sources relayed through the platform, each node in this topology independently obtains its time reference and rate information from a publicly available broadcast source. This independence from centrally mediated synchronization allows unidirectional constraints to be maintained without sacrificing the quality of local decision-making.

[0054] The unidirectional transport layer transmits telemetry data from resource nodes to the data aggregation center. The key architectural constraint is strict unidirectionality: no operational data flows from the platform to the nodes through this layer.

[0055] Telemetry streams from each node include: (a) periodic status reports containing current operating parameters, device status, and environmental measurements; (b) event notifications triggered by significant changes in node operation; and (c) aggregated performance summaries exceeding a configurable time window.

[0056] To enforce unidirectional constraints at the protocol level, the transport layer employs a publish-subscribe model, where nodes are solely publishers and the platform is solely a subscriber. The communication protocol supports response messages from the platform to the nodes (required for reliable transmission), but these responses do not carry any operational payload. Hardware or firmware-level filters on the node's communication interface reject any inbound messages that are not transport layer responses.

[0057] The one-way constraint of the transport layer requires the use of connectionless or one-way configured communication protocols because conventional connection-oriented protocols (such as TCP) require a two-way handshake, which violates architectural invariants. In preferred implementations, the transport layer employs a connectionless datagram protocol (such as UDP) with application-layer ordering and deduplication, or a publish-subscribe messaging protocol configured in a send-and-forget mode, where the broker resides at the data aggregation center and nodes publish without waiting for transmission acknowledgments. Hardware or firmware-level filters on each node's network interface operate at the packet level: they maintain a whitelist of allowed inbound frame types (identified by protocol-specific flags or message type codes) limited to transport layer acknowledgment frames and discard all other traffic before it reaches the application layer. This packet-level distinction ensures that even if an attacker constructs a message with a valid header, any payload exceeding the acknowledgment will be rejected by the filter before parsing, providing defense-in-depth security independent of the application layer.

[0058] To further clarify the scope of the one-way constraint regarding transport layer response frames: the filter allows inbound response frames to pass only for its transport layer function, i.e., to confirm successful delivery. The local execution logic of resource nodes does not interpret, parse, or act on any field of the inbound response frame, including but not limited to header metadata such as window size, sequence number parameters, and identification fields, or any other protocol header attributes, exceeding the minimum information required by the transport protocol to confirm delivery and maintain the communication session. In any system, if a resource node extracts operational instructions, scheduling hints, parameter adjustments, or any other behaviorally significant information from any field of the response frame, whether payload, header, or any extension or option fields, it violates the one-way constraint defined in this invention. This clarification excludes covert channel attacks by upstream entities that circumvent load-level filters by encoding instructions (e.g., TCP window size modulation or IP identification field sequences) in the response frame header fields.

[0059] The one-way constraint allows for one exception: non-operational management messages (such as firmware updates, certificate renewals, and configuration schema changes) can be delivered through a separate management channel. This management channel is rate-limited, requires manual authorization, and cannot transmit real-time operational commands. It is isolated from the transport layer at the schema level and operates on a different schedule (e.g., a weekly maintenance window rather than real-time).

[0060] Isolation between the management channel and the unidirectional transport layer is enforced at both the physical and protocol layers. The two channels operate on independent network interfaces, or at least on independent logical ports with independent authentication domains. The management channel employs a different messaging architecture that is structurally incompatible with telemetry protocols, preventing any management messages from being misinterpreted as operational commands, even if injected into the transport path. Furthermore, the management channel requires explicit manual authorization for each transport session, and any configuration changes are only implemented after the node firmware verifies that the received management payload conforms to the pre-registered architecture. In the preferred implementation, the node must be placed in a dedicated maintenance mode, activated by a physical switch, local console command, or cryptographically authenticated out-of-band trigger, to accept any inbound payload on the management interface; during normal operation, the management receive path is electrically or logically disabled, ensuring that even a completely compromised network cannot deliver management content to nodes not explicitly prepared to receive it. This dual isolation design ensures that the presence of the management channel does not compromise the unidirectional architectural invariants of the transport layer.

[0061] The evaluation layer resides in the data aggregation center, processing aggregated telemetry from all connected nodes. Its function is to perform statistical analysis on the inbound data stream, generating derived metrics that describe the health of the resource cluster and the operational status of each node within a configurable observation period.

[0062] The specific analytical methods within the evaluation layer are implementation-related and beyond the scope of this invention. The architectural contribution of this layer lies in the fact that it operates only on inbound telemetry and does not transmit any processing results to the nodes. A unidirectional information flow is maintained: raw data is input from the transport layer, and derived metrics flow only to the external interface layer.

[0063] The key capability of the assessment layer is to derive the tradable resource cluster capacity specifically from one-way inbound telemetry, without querying or polling individual nodes. Unlike conventional systems that verify capacity by issuing test commands and observing responses, the assessment layer must infer the available capacity, responsiveness, and operational quality of each node solely from data that nodes autonomously choose to transmit. This constraint requires the assessment layer to maintain a statistical model, estimating capacity margins from historical telemetry patterns rather than real-time command-response verification. The resulting capacity assessments are inherently conservative yet resilient: they do not rely on the continuous availability of any communication channels and cannot be manipulated by injecting spurious query-response sequences.

[0064] The lack of a query-response channel introduces inherent uncertainty into capacity estimation at the evaluation layer: unlike bidirectional systems where the instantaneous status of nodes can be polled on demand, the evaluation layer must infer from the most recent telemetry observations, the time span of which varies with network latency and node configuration reporting intervals. To transform this uncertainty into quantifiable, tradable capacity, the evaluation layer constructs a per-node confidence envelope instead of a single-point estimate. For each node, the layer maintains a rolling statistical distribution of historically observed capacity availability, conditioned on the node's most recent telemetry context (e.g., device status, environmental conditions, and time of day). The committed capacity of external product commitments is derived from a configurable lower percentile of this distribution, e.g., the fifth percentile, ensuring that the probability of the resource cluster failing to deliver the committed quantity remains below a predetermined threshold. As the observation window lengthens and additional telemetry samples accumulate, the confidence envelope narrows, and the committed capacity can increase, forming a self-improving accuracy mechanism that rewards continued participation. This statistical processing transforms the one-way constraint from an obvious limitation into a rigorous risk management framework: the external commitment of the resource cluster is defined by empirical evidence rather than optimistic assumptions requiring real-time verification.

[0065] The statistical methods used in the evaluation layer include: For each resource node i, the evaluation layer maintains a rolling statistical distribution D_i, which consists of the observed capacity utilization r = delivered_capacity / rated_capacity calculated on the tail observation window T (e.g., 30 days of historical telemetry). delivered_capacity is the actual delivered capacity, which is the capacity that the resource node truly outputs or delivers during actual operation. rated_capacity is the rated capacity, i.e., the maximum sustainable output capacity (nameplate value, nominal capacity) specified by the equipment at the factory or design specifications. This distribution captures the empirical variability of node performance under different environmental backgrounds, equipment states, and operating scenarios. The committed capacity of node i in the external service commitment is calculated as C_committed_i = C_rated_i × P_α(D_i), where P_α is the α quantile of distribution D_i, α is a configurable confidence parameter (e.g., α = 0.05 represents a 95% commitment confidence level), and C_rated_i is the rated capacity of the i-th node, which is the rated capacity of the i-th resource node. This percentile-based formula ensures that the committed capacity represents a conservative estimate defined by historical evidence: 95% of historical observations indicate that node i will deliver at least C_committed_i when requested. The total committed capacity of the resource cluster participating in the external arrangement is the sum of the committed capacities of all nodes: C_cluster = Σ(C_committed_i), summed over all active nodes. The percentile selection process iterates as additional telemetry samples arrive, allowing the statistical distribution to grow and C_committed_i to be adjusted downward or upward based on refined empirical evidence.

[0066] As a concrete numerical example, consider a four-node resource cluster. Node A has a rated capacity of 100kW, a fifth percentile utilization rate P_5 = 0.92, and contributes a committed capacity of 100 × 0.92 = 92kW. Node B has a rated capacity of 150kW, P_5 = 0.85, and contributes 150 × 0.85 = 127.5kW. Node C has a rated capacity of 80kW, P_5 = 0.70 (reflecting higher historical variance), and contributes 80 × 0.70 = 56kW. Node D has a rated capacity of 120kW, P_5 = 0.88, and contributes 120 × 0.88 = 105.6kW. The total committed capacity of the resource cluster is 92 + 127.5 + 56 + 105.6 = 381.1kW. This committed resource cluster total (381.1kW) is significantly lower than the naive sum of the rated capacity (100+150+80+120=450kW), reflecting an 84.7% utilization rate. The statistical method offers several advantages: First, it acknowledges that not all nodes will operate at rated capacity simultaneously; second, it weights each node's contribution based on historical reliability records, making node C's telemetry more volatile, contributing a smaller share despite having sufficient rated power; third, the committed amount is transparent to external trading parties, reducing the risk of disputes compared to subsequent unfulfilled optimistic capacity claims.

[0067] The external interface layer converts the capacity information derived from the resource cluster's telemetry into structured data suitable for external service arrangements. It transforms the internal telemetry representation into a format compatible with external transaction protocols, abstracting the details of each node behind a unified resource cluster interface.

[0068] The external interface layer operates as a pure formatting and transformation layer. It does not perform any evaluation or scoring on nodes—that function belongs to the evaluation layer. Its sole responsibility is to present the output of the evaluation layer in an externally consumable format.

[0069] The combination of the evaluation layer and the external interface layer enables a capability distinct from conventional one-way monitoring systems: the ability to construct quantifiable, tradable capacity packages solely from passive observation. In conventional one-way systems (such as data isolators in industrial control), the receiving end can only observe and alert; it cannot make commitments about the future behavior of the monitored equipment. In this invention, the statistical capacity model of the evaluation layer provides sufficient confidence to construct a capacity product that can be committed to external trading parties. The external interface thus transforms the passive monitoring architecture into an active market participation mechanism without any reverse control channels.

[0070] The scalability features of this invention include: A unidirectional topology scales linearly with the number of nodes. Adding a new node only requires establishing its outbound telemetry flow; no changes are needed to the outbound infrastructure of existing nodes or the data aggregation center (because there is no outbound infrastructure to the node). This contrasts with a bidirectional architecture, which requires supplying both uplink and downlink channels when adding nodes and may require recalculating the global coordination strategy to incorporate the new node.

[0071] A unique consequence of unidirectional constraints is that the data aggregation center cannot exert backpressure on nodes: it lacks a downlink channel to instruct nodes to reduce telemetry transmission rates during congestion. This architecture addresses this issue through a combination of node-side and center-side mechanisms. At the node side, each local execution layer implements a random transmission schedule with configurable jitter, causing nodes to transmit their periodic status reports with random offsets rather than synchronous boundaries within each reporting interval. This temporal dispersion reduces the probability of simultaneous outbreaks. At the center side, the evaluation layer is designed to gracefully tolerate partial telemetry loss: its statistical model treats missing observations as censored data points rather than failures, proportionally widening the confidence envelope for affected nodes to the duration of the unobserved interval. If telemetry from a node is lost beyond a configurable staleness threshold, the evaluation layer progressively deducts that node's contribution to the committed resource cluster capacity, rather than triggering an alarm or attempting corrective action. This design ensures that transient network congestion smoothly degrades capacity estimates rather than causing abrupt resource cluster-level failures.

[0072] The failure mode analysis of this invention includes: This topology provides graceful degradation in all single-point-of-failure scenarios. If one node fails, the remaining resources of the cluster continue to operate; the evaluation layer detects the missing telemetry and adjusts its metrics accordingly. If the data aggregation center fails, all nodes continue to operate autonomously; external commitment fulfillment is temporarily suspended, but no nodes are operationally adversely affected. If the transport layer is partially disrupted, affected nodes continue to operate autonomously, while unaffected nodes maintain their telemetry streams; the evaluation layer indicates the observable degradation in its score.

[0073] Alternative embodiments of the present invention include: Node types: Resource nodes are not limited to stationary battery energy storage systems, but also include electric vehicles with bidirectional charging capabilities, controllable loads (HVAC, water heaters, industrial processes), hydrogen electrolyzers, distributed generation (solar, wind, micro gas turbines), and any equipment with measurable capacity and autonomous control capabilities.

[0074] Market and service types: External service commitments are not limited to the energy capacity market, but also include frequency regulation, demand response programs, energy arbitrage, ancillary services, network support services, and any arrangement that provides aggregated capacity of distributed resources to external trading parties.

[0075] Hierarchical and recursive aggregation: Multiple data aggregation centers can be arranged hierarchically, with higher-level centers aggregating data based on capacity assessments from lower-level centers rather than directly from individual nodes. One-way constraints are preserved at every level of the hierarchy.

[0076] Dynamic Joining and Leaving: Resource nodes can dynamically join or leave the resource cluster without reconfiguring existing nodes. The evaluation layer adjusts its statistical model to include new nodes or discount nodes that leave.

[0077] Regulatory independence: This topology is independent of any particular regulatory framework and operates in the same way in jurisdictions with different market rules, grid regulations, or energy policies.

[0078] Equivalent substitutions and variations of the present invention include: Equivalent Implementation of One-Way Constraint: The one-way constraint described in this invention is not limited to any specific protocol, physical medium, or implementation technology. This constraint covers any communication architecture, including data diodes (one-way hardware components), publish-subscribe brokers, connectionless datagram protocols, or any other mechanism, as long as it enforces the invariant that operational data cannot flow from a data aggregation center to any resource node. The architectural contribution lies in the enforcement of the one-way constraint itself, rather than the specific technical means of implementing it.

[0079] Equivalent alternatives to statistical methods: The statistical capacity assessment methods described in this invention include rolling distributions, percentile-based commitment calculations, and confidence envelope construction, and are not limited to the specific statistical techniques disclosed. Equivalent methods include, but are not limited to: Value at Risk (VaR) and Conditional Value at Risk (CVaR) frameworks, Bayesian confidence intervals, kernel density estimation, machine learning-based prediction intervals (including neural network quantile regression and Gaussian process regression), bootstrap confidence limits, and any method for deriving conservative capacity estimates from historical observed performance distributions. The architectural contribution lies in constructing tradable capacity commitments through statistical inference using one-way telemetry, rather than the specific statistical techniques employed.

[0080] The hardware or firmware-level packet filters described in the preferred implementation are not the only means of enforcing one-way constraints at node network boundaries. Operating system kernel-level packet filters, such as netfilter / iptables rule chains configured in the kernel network stack, can achieve functionally equivalent one-way enforcement by discarding all inbound packets except transport layer acknowledgments before they reach user-space processes. The architectural contribution lies in enforcing inbound message rejection at the level below application logic, ensuring that application-layer decision logic on resource nodes is unaffected by any inbound operation data, regardless of the specific enforcement mechanism. Whether the enforcement occurs in an ASIC, FPGA, Trusted Execution Environment (TEE), or operating system kernel module, the technical effect is the same: preventing any information generated by the data aggregation center from reaching the node's decision logic.

[0081] The flow of information from the data aggregation center to the resource nodes is prohibited from extending to any interaction initiated by the data aggregation center that triggers a response from the resource nodes, regardless of how that interaction is tagged. Specifically, query messages, health check probes, polling requests, keep-alive signals, and any communication initiated by the data aggregation center that causes a resource node to change its transmission timing, content, or behavior due to received signals, constitute a violation of the one-way constraint. In this topology, all telemetry transmissions are initiated entirely by the local execution logic of each resource node according to its own schedule; the data aggregation center has no mechanism to request, demand, or trigger specific transmissions from any node. This distinction differentiates this invention from conventional monitoring systems, where a central controller polls peripheral devices: in this topology, the data aggregation center is a purely passive receiver of autonomously transmitted data.

[0082] The broad definition of prohibited scheduling instructions: The prohibited scheduling instructions from the data aggregation center to the resource node cover the complete absence of any downlink information path, including but not limited to: non-binding suggestions, suggested operating schedules, suggested scheduling configurations, incentive signals, and any form of information generated by the data aggregation center that may affect the node's autonomous operation decision.

[0083] One-way constraints are architectural invariants, not merely software configurations. Even if the data aggregation center is compromised, it has no channel to issue commands to resource nodes. This provides by-the-design security against a type of attack targeting the central platform, where an attacker gains control of the central platform and attempts to manipulate the distributed nodes.

[0084] It should be recognized that embodiments of the present invention may be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable storage medium.

[0085] The method can be implemented using standard programming techniques, including a non-transitory computer-readable storage medium configured with a computer program in the computer program, wherein the storage medium is configured such that the computer operates in a specific and predefined manner.

[0086] Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system; however, if required, the program can be implemented in assembly or machine language.

[0087] In any case, the language can be either compiled or interpreted.

[0088] Furthermore, for this purpose, the program can run on programmed application-specific integrated circuits.

[0089] The processes (or variations and / or combinations thereof) described in this invention can be executed under the control of one or more computer systems configured with executable instructions, and can be implemented by hardware or a combination thereof as code (e.g., executable instructions, one or more computer programs, or one or more applications) that commonly executes on one or more processors. The computer program includes a plurality of instructions executable by one or more processors.

[0090] Furthermore, the method can be implemented in any suitable computing platform, including but not limited to personal computers, minicomputers, mainframes, workstations, networked or distributed computing environments, standalone or integrated computer platforms, or in communication with charged particle tools or other imaging devices.

[0091] Various aspects of the present invention can be implemented in machine-readable code stored on a non-transitory storage medium or device, whether portable or integrated into a computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it can be read by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the processes described herein.

[0092] Furthermore, machine-readable code, or parts thereof, can be transmitted via wired or wireless networks.

[0093] When such media includes instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor, the invention described herein includes these and other different types of non-transitory computer-readable storage media.

[0094] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A unidirectional telemetry network topology control system for coordinating distributed resource management, characterized in that, include: The local execution layer consists of autonomous processing logic residing on each resource node, and is responsible for making all real-time operational decisions using locally available data. The unidirectional transmission layer consists of communication channels that transmit telemetry data only from resource nodes to the data aggregation center, and there is no reverse channel for operation commands. The evaluation layer, residing in the data aggregation center, processes aggregated telemetry to derive performance evaluations for individual nodes and collective resource clusters. The external interface layer also resides in the data aggregation center, packaging the assessed collective capacity into a form suitable for external service commitments; One-way constraints are enforced at the protocol level by configuring resource nodes as publish-only endpoints and data aggregation centers as subscribe-only endpoints. Inbound messages at each resource node are filtered to reject any load that exceeds the transport layer response. The evaluation layer maintains a record for each resource node derived solely from telemetry calculated from the inbound data stream, without communicating any evaluation results back to the resource nodes. The external interface layer constructs a collective capacity data packet based on the indicators of each node in the evaluation layer; If communication between the resource node and the data aggregation center is interrupted, the resource node continues to operate autonomously indefinitely using locally available data, and its local decision-making capabilities are not degraded in any way. The management channel, which is architecturally isolated from the unidirectional transport layer, allows non-operational messages, including firmware updates and certificate renewals. This management channel is rate-limited and requires manual authorization. Adding a new resource node to the topology only requires establishing an outbound telemetry flow from the new node to the data aggregation center, without requiring any modification to the existing node or any platform-to-node communication infrastructure; Hardware or firmware level filters are implemented using one of the following: Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) with a fixed unidirectional bit stream, or Trusted Execution Environment (TEE) that enforces a packet inspection policy that only allows transport layer acknowledgment frames to pass through to the resource node. Each resource node independently obtains time references and external rate information from publicly available broadcast sources, without needing any synchronization signals relayed through a data aggregation center. This allows coordinated resource cluster behavior to emerge from independent local decisions rather than from centrally allocated coordination signals. The evaluation layer constructs a confidence envelope per node by maintaining a rolling statistical distribution of historically observed capacity availability and derives the committed resource cluster capacity from the configurable lower percentile of the distribution, such that the probability of the resource cluster failing to deliver the committed amount remains below a predetermined threshold, and wherein the confidence envelope narrows with additional telemetry samples accumulated over time.

2. The unidirectional telemetry network topology control system for coordinating distributed resource management according to claim 1, characterized in that, A method for coordinating distributed resource nodes in a one-way telemetry network topology control system for coordinating distributed resource management without centralized control includes the following steps: (a) Each resource node operates autonomously using only locally available data to make all operational decisions; (b) Each resource node transmits telemetry data to the data aggregation center through a unidirectional channel that prohibits reverse command transmission, wherein each resource node enforces the unidirectional constraint through a hardware or firmware-level packet filter that rejects inbound messages other than transport layer responses; (c) Process aggregated telemetry data at the data aggregation center to characterize the operational status of each node and the resource cluster capacity; and (d) Package the assessed resource cluster capacity for output to an external system interface.

3. The unidirectional telemetry network topology control system for coordinating distributed resource management according to claim 2, characterized in that, A system for coordinating distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes: Multiple resource nodes, each resource node including an embedded processor, local sensors and a network interface with hardware or firmware level filters configured to reject inbound messages other than transport layer acknowledgments; The data aggregation center includes a processor, a memory, and a subscription interface, wherein the subscription interface is configured to receive telemetry data from the plurality of resource nodes; A one-way communication network connects the resource nodes and the data aggregation center, wherein the network transmits data only from the resource nodes to the data aggregation center, and there is no operational data path from the data aggregation center to any resource node; and The instructions stored in the memory of the data aggregation center, when executed by the processor, cause the processor to derive the operational status indicators of each node from the received telemetry data, construct a resource cluster capacity assessment based on the indicators of each node, and format the resource cluster capacity for output to the external system interface. The data aggregation center does not have an interface that can transmit operation instructions to any resource node. The hardware filter on the network interface operates at the packet level, maintaining a whitelist of allowed inbound message types and dropping all other traffic before application layer processing.

4. The unidirectional telemetry network topology control system for coordinating distributed resource management according to claim 3, characterized in that, The decision-making logic of each resource node is executed entirely on that node, without any real-time dependence on the data aggregation center; The data aggregation center maintains a statistical model for each node to estimate capacity from historical telemetry patterns, rather than verifying capacity by issuing test commands; The data aggregation center has no outbound network interface, logical port, or protocol endpoint connected to the unidirectional transport layer or any resource node, so that the prohibition of scheduling instructions is enforced through the physical absence of the transport path rather than software-level access control. Furthermore, the prohibition covers not only operation instructions, but also suggested schedules, suggested operating configurations, non-binding suggestions, incentive signals, and any information that may affect the autonomous operation decisions of resource nodes.

5. The unidirectional telemetry network topology control system for coordinating distributed resource management according to claim 4, characterized in that, The system that coordinates distributed resource nodes constructs quantitative capacity assessment data based on historical telemetry data and statistical models, without needing to send query commands to resource nodes or receive query responses. The telemetry transmission in step (b) uses a publish-subscribe messaging protocol, where each resource node is configured as a publish-only endpoint and the data aggregation center is configured as a subscribe-only endpoint; The processing in step (c) includes constructing a per-node confidence envelope from a rolling statistical distribution of historically observed capacity availability and deriving the committed resource cluster capacity from the configurable lower bound percentile of the distribution.

6. The unidirectional telemetry network topology control system for coordinating distributed resource management according to claim 5, characterized in that, A method for managing distributed resource nodes based on a unidirectional telemetry network topology control system for coordinating distributed resource management includes the following steps: (1) At each resource node, all operational decisions are made using only locally available data, including local sensor readings, locally cached reference data, and independently acquired time synchronization and rate information. No data transmitted from the data aggregation center is received or used. (2) Each resource node autonomously transmits telemetry data representing its operational status to the data aggregation center, wherein the telemetry transmission is entirely initiated by the local execution logic of each resource node; (3) In the data aggregation center, only the operational status indicators of each node are derived from the autonomously transmitted telemetry data; no resource nodes are queried or polled. (4) Construct a resource cluster capacity assessment based on the indicators of each node and output it to the external system interface.

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