45 results about "Physical infrastructure" patented technology

The invention belongs to the technical field of data security and block chains, and discloses a physical infrastructure node continuous data chaining and traceability method and system, and the method comprises the steps: generating a unique asymmetric key pair for each node; continuously collecting physical sensing data and generating a unique data identifier; performing digital signature on the current physical sensing data to form a continuous signature chain; storing the original physical perception data, the corresponding digital signature and the continuous signature chain in an off-chain service platform database; uploading the data identifier, the digital signature and the hash value of the original physical sensing data to a block chain network based on a dynamic anchoring strategy; and comparing the calculated hash value with the hash value of the corresponding original physical sensing data in the block chain network, and backtracking the continuous signature chain. According to the invention, a safe, efficient and traceable complete data guarantee scheme can be provided for a decentralized physical infrastructure network.

The invention relates to a digital twin-driven Internet of Things user behavior prediction and resource allocation method, and belongs to the field of mobile communication. Aiming at the problems of service quality reduction, load imbalance, low utilization rate and the like caused by resource allocation lag in the traditional method, the invention provides the following scheme: constructing a three-level system model of a physical infrastructure layer, a digital twin network layer and a control layer; an SA-TCN model combining a self-attention mechanism and a time convolution network is designed, and the prediction precision in a dynamic environment is improved through meta learning; establishing an end-to-end delay, DT credibility and system cost model, and taking maximization of system utility as a target; and dynamically optimizing a resource allocation strategy by adopting a PER-MATD3 algorithm. According to the method, high-precision user behavior prediction is realized, the real-time performance of resource scheduling is improved, the resource utilization rate, the load balance and the comprehensive effectiveness of the system are remarkably improved under the condition that end-to-end delay and credibility constraints are guaranteed, and the method is suitable for a high-mobility Internet of Things scene.

A vehicle artifact (e.g., software, firmware, content, etc.) distribution system uses direct vehicle-to-vehicle communications to extend a range of physical infrastructure and to improve speed and cost of distributing artifacts to vehicles. An artifact to be distributed is assigned a vehicle-to-vehicle distribution policy that defines gateway vehicle selection, wherein gateway vehicles are used to distribute the artifact to other recipient vehicles. A local software agent executing on the vehicles distributes the artifact in accordance with the vehicle-to-vehicle distribution policy using locally installed antennas of the vehicles.

The invention provides an edge network resource orchestration architecture in a holographic communication intelligent fusion identification network and a point cloud service orchestration method based on a graph attention network, and the architecture comprises an infrastructure network layer which is used for fusing computing resources and transmission resources according to the data processing capability and transmission capability of a physical infrastructure; the decision control layer is used for generating a joint optimization strategy according to the network state acquired in real time; and the holographic service layer is used for aggregating different types of holographic service requests and triggering an arrangement strategy according to the characteristics of the holographic service requests. According to the invention, the problems of low time delay and high reliability arrangement of the existing holographic service in the resource-constrained edge network can be solved.

A method for improving trust in a decentralized physical infrastructure network (DePIN), the method including receiving, by a client device, a result set created by executing a request on a source data from at least one of a plurality of operator nodes of the DePIN, validating the source data by calculating one or more hash values of the source data and comparing the one or more calculated hash values with one or more original hash values published on a shared metadata layer, and validating the result set, by executing the request on the source data after validation to generate a validating set and comparing the validating set with the result set to determine accuracy of the result set.

The invention discloses an intelligent port cargo scheduling system and method based on big data analysis, and relates to the technical field of port cargo scheduling data processing. The system comprises an environment acquisition and evaluation module, a cargo intelligent scheduling distributed computing node first comparative analysis calling module and a cargo intelligent scheduling distributed computing node second comparative analysis calling module. According to the invention, through cargo environment monitoring optimization, equipment operation efficiency optimization and dynamic allocation of computing resources, an environment-equipment-computing power intelligent closed-loop optimization system is formed; therefore, comprehensive efficiency improvement of port operation from physical infrastructure to a digital decision-making system is achieved, and the problem that in the prior art, an intelligent port cargo scheduling system is insufficient in response accuracy to a distributed scheduling environment in extreme weather is solved.

A disclosed method may include (i) reporting, by a microcontroller, a detection of violation of a physical infrastructure constraint to a machine inspection architecture, (ii) in response to the reporting, triggering, by the machine inspection architecture, a machine inspection anomaly such that the violation of the physical infrastructure constraint is recorded, and (iii) performing a corrective action based on the triggering of the machine inspection anomaly. Various other apparatuses, systems, and methods are also disclosed.

This invention relates to an integrated system (1) that enables monitoring, management and optimization of physical infrastructure and resources located in data centers.

The arrangement and composition of elements herein describe an enterprise-level cloud computing capability having a small and portable form factor. This highly capable and portable system is made possible through the combination of high-density computing elements, storage elements, networking elements, cooling elements, and power distribution elements in a single unit that result in a system able to be carried by one person. This portable system therefore affords the functionality and capability of an enterprise cloud server stack where space and / or physical infrastructure limitations prevent the utilization of traditional on-prem cloud server racks typically housed in a remote server rack farm or data center. In addition to the privacy and security benefits of an on-premises enterprise cloud capability, this also provides processing, storage, and networking mobility, as the unit can more easily and quickly be moved from location to location and without the need for server rack equipment.

A disclosed method can include (i) reporting, by a microcontroller, detection of a violation of a physical infrastructure constraint to a machine check architecture, (ii) triggering, by the machine check architecture in response to the reporting, a machine-check exception such that the violation of the physical infrastructure constraint is recorded, and (iii) performing a corrective action based on the triggering of the machine-check exception. Various other apparatuses, systems, and methods are also disclosed.

Embodiments are directed towards systems and methods for bridging data traffic between an underlay network and an overlay network within a wireless telecommunication network. One such method including: providing access to an overlay network that includes virtual routers, wherein the overlay network is built above the underlay network, the underlay network including physical infrastructure that delivers packets; providing a UPFv that acts as an anchor for telephony voice functions; establishing routing protocols to transmit from the UPFv to one or more of the virtual routers; configuring one or more of the virtual routers to bridge an outgoing communication from the UPFv to a public cloud provider; instructing the virtual router to send the outgoing communication through the public cloud provider to the underlay network; and instructing the virtual router to receive an incoming communication from the underlay network through the public cloud provider to the UPFv.

Disclosed herein are systems, methods, and apparatuses where a controller can automatically manage a physical infrastructure of a computer system based on a plurality of system rules, a system state for the computer system, and a plurality of templates. Techniques for automatically adding resources such as computer, storage, and / or networking resources to the computer system are described. Also described are techniques for automatically deploying applications and services on such resources. Also described are techniques for spawning computing environments. These techniques provide a scalable computer system that can serve as a turnkey scalable private cloud.

A location analyzer resource (a.k.a., communication management resource) receives location information indicating expected locations of one or more installed physical assets in a network environment. The location analyzer resource also retrieves network infrastructure map information such as including images associated with the network environment. The network infrastructure map information and corresponding images indicate actual locations of available physical infrastructure in the network environment. Among other operations, the location analyzer resource analyzes images of the available physical infrastructure to determine a respective actual location of each installed physical asset of interest. The learned locations of the one or more installed physical assets are then used by a configuration management resource to produce a network installation plan in which to install one or more wireless access points to provide wireless access to wireless stations in respective geographical regions serviced by the new wireless access points.

A network architecture designed for efficiency and scalability. The assembly utilizes an orthogonal connection system where line cards and fabric cards are positioned orthogonally within physical infrastructure equipment including racks and modular data centers. The network architecture offers several advantages, including improved signal integrity, enhanced thermal management, and increased modularity. By eliminating the traditional backplane and utilizing direct connections, the network architecture reduces signal degradation and allows for better airflow, which is crucial for high-density systems. The modularity simplifies adding, removing, or upgrading components, making the network architecture easily adaptable to future needs.

An approach is provided for resource provider identity management and resource attestation and provisioning. The approach involves, for example, determining a request to initiate a pre-provisioning of a resource component to an infrastructure network (e.g., Decentralized Physical Infrastructure Networks (DePIN). The request includes a specification label that advertises one or more capabilities of the resource. The approach also involves reading of a specification table and a unique identifier from the resource component. The approach further involves verification of the specification label based, at least in part, on the specification table. The approach further involves generating a bundle based, at least in part, on the specification table and the unique identifier. The bundle represents the verification of the specification label. The approach further involves associating the bundle with the resource component.

Automated infrastructure design validation is disclosed herein. For instance, a topological physical infrastructure wiring diagram is received. Thereafter the topological physical infrastructure wiring diagram is transformed into a multi-graph comprising node equipment representations and unique edge representations. The multi-graph is then used to extract feature data associated with each of the node equipment representations and the unique edge representations, and based on the multi-graph and the feature data a model is trained using a n-level graph neural network. The model, once trained, can be used to evaluate production topological physical infrastructure wiring diagrams.

Resistance to vulnerabilities from timing-based side-channel attacks on 5G network slices that share underlying physical infrastructure and resources may be enhanced by selectively imposing time-based constraints on service provisioning and data handling to obscure data-driven time variations that occur during workload execution in a slice that can leak secret information. By preventing timing leakage from the 5G network slices, an attacker cannot observe execution latencies to thereby infer the constituency of workload characteristics. In addition, the attacker cannot create contention for shared resources on its own slice to observe an extent to which the shared resources are utilized by a targeted slice.

The current document is directed to methods and systems that migrate traditional control systems used to manage and administer physical infrastructure, including retail establishments, warehouses, manufacturing facilities, offices, hospitals and medical clinics, and other physical infrastructure, to cloud-computing facilities. The approach to controlling physical infrastructure disclosed in the current document is not simply an extension of traditional control systems to access and use cloud-computing facilities, but instead represents the migration of physical infrastructure into cloud-computing facilities, resulting in elimination of the need for local computers and computer-implemented control systems from the physical infrastructure and a complete abstraction and virtualization of the hardware systems within the physical infrastructure. In the currently disclosed approach, complex management logic, including policy-based and rules-based management logic as well as programmed management logic, is fully migrated from physical infrastructure to cloud-computing facilities, providing greater reliability, independence from physical infrastructure systems and components, and a centralized cloud-resident infrastructure model that can be accessed and manipulated, in cloud-computing facilities, by a wide variety of different types of applications, including management applications, visualization applications, inventory-controlled applications, and security applications. This approach provides far greater freedom in design and implementation of both control systems as well as physical hardware systems, greatly accelerates the rates at which control systems and physical hardware systems can be improved, and also provides a conceptual-framework basis for rapid technological evolution of physical-infrastructure control systems.

The application discloses a server power-off method and device with a data processing unit (DPU), related equipment and a storage medium. The physical infrastructure manager (PIM) applied to a cloud management system comprises the following steps: in the case that the board management controller (BMC) of a server managed by the cloud management system completes the power-off of the central processing unit (CPU) of the server with the DPU, receiving first information sent by the BMC; receiving an instruction of a management personnel to power off the independently powered DPU in the server; judging whether the CPU in the server where the DPU is located is powered off based on the first information; in the case that the CPU is powered off, sending a first instruction to the BMC; and the first instruction is used to inform the DPU to be powered off.

The invention discloses a 5G network slice security isolation system and a 5G network slice security isolation method oriented to multiple service scenes, provides a unified security isolation framework covering a computing layer, a storage layer, a network layer and a management layer, forms top-down policy distribution and a bottom-up feedback mechanism, and realizes integrity and consistency of end-to-end isolation. According to the method, slice service requirements are abstracted into requirement vectors, differentiated network slice isolation strategies are carried out according to the requirement vectors, and different service slices can still meet respective performance and safety requirements in the same physical infrastructure; meanwhile, the performance index and the security situation of each slice are monitored in real time in the operation period, and once the slice state is found to deviate from an expected target, the system can automatically trigger resource adjustment, flow rerouting or priority adjustment, so that the isolation strategy has dynamic adaptability and flexible scheduling capability.

The invention discloses a shelter identification method and device based on an isolated forest model, and a medium, and the method comprises the steps: collecting Wi-Fi handshake data in a non-disaster period, and carrying out the data preprocessing, and obtaining a training data set; constructing an isolated forest model of the informal shelter according to the training data set; inputting the Wi-Fi handshake data of the informal shelter in the disaster period into the isolated forest model of the informal shelter to obtain an abnormal score of each data point; and identifying potential shelters according to the abnormal scores, and allocating rescue resources for the shelters. According to the method, the crowd gathering condition of an informal shelter during a disaster can be automatically identified, the monitoring capability of a refuge crowd gathering area is greatly improved, equipment connection and crowd activities during the disaster are monitored in real time by using Wi-Fi handshake data, the method does not depend on additional physical infrastructures, the equipment laying cost is saved, and the method is suitable for popularization and application. The application prospect is wide.

1. Name of the Design Product: Graphical User Interface for Physical Infrastructure Management of Electronic Devices. 2. Use of the Design Product: Electronic Devices. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. Use of the Graphical User Interface: The graphical user interface of this design is an interactive interface for physical infrastructure management. The front view is the login interface. Enter information and click "Login" to enter the interface change status diagram 1; Interface change status diagram 1 is the home page interface. There is a chart carousel module above the interface, and menu entries for different types of physical infrastructure (servers, storage, network devices, security devices, cabinets) below the interface. Click on the server icon to enter interface change status diagram 2, which shows the server resource list page; In interface change status diagram 2, click on any list item to enter interface change status diagram 3, which shows the resource details page; In interface change status diagram 3, the "Basic Information" label page is displayed by default. Click on the "Hardware Information" label to enter interface change status diagram 4, which shows the "Hardware Information" label page. In each view interface, the characters represented by 'X' can be replaced, and the number of 'X' does not limit the number of replaced characters. The gray rectangular area within the interface is the content screen.

This invention belongs to the field of information security and blockchain traceability technology, and discloses a method and system for preventing counterfeiting of data on-chain in distributed physical infrastructure. The method includes: a target device security chip generating a first key; a trusted node server generating a second key and distributing it after double encryption; the target device security chip decrypting the second key; the target device security chip collecting business data and performing double digital signatures on the business data, and calculating a hash value; the target device security chip generating a proof-of-work commitment certificate; the target device main control module constructing an enhanced evidence package and uploading it to the blockchain system and business platform; the blockchain system verifying the validity of the double digital signatures; and verifying the authenticity and tamper-proof nature of the business data. This invention achieves a fully trusted data on-chain mechanism with auditable key distribution, checks and balances among multiple participants, and verifiable submission behavior, fundamentally solving the problem of preventing counterfeiting at the data source of IoT devices.

This invention pertains to the fields of distributed ledger, cryptocurrency, and decentralized physical infrastructure network. It solves the problems of the blockchain trilemma and cryptocurrency's l

Disclosed herein are systems, methods, and apparatuses where a controller can automatically manage a physical infrastructure of a computer system based on a plurality of system rules, a system state for the computer system, and a plurality of templates. Techniques for automatically adding resources such as computer, storage, and / or networking resources to the computer system are described. Also described are techniques for automatically deploying applications and services on such resources. Also described are techniques for spawning computing environments. These techniques provide a scalable computer system that can serve as a turnkey scalable private cloud.

The utility model relates to the technical field of safety protection of information technology and physical infrastructure fusion, in particular to a digital twin safety system of a key infrastructure. The system is composed of a multi-source heterogeneous data acquisition module, a secure transmission module, a digital twin modeling engine, a security protection module and a visual interaction module. The multi-source heterogeneous data acquisition module is in butt joint with a target facility through a wired / wireless dual-mode communication interface; the secure transmission module is configured with a physically isolated data channel; the digital twin modeling engine comprises a parallel processor array and a storage medium; the safety protection module is provided with a bidirectional data bus which is respectively connected with the digital twin modeling engine and the visual interaction module; the visual interaction module comprises a display terminal and an alarm unit. According to the utility model, full-chain safety guarantee from physical perception to virtual protection is realized through cooperation of multiple modules.

Systems, methods, and other embodiments associated with LLM-based generation of computing infrastructure are described. In one embodiment, an example method includes accessing infrastructure requirements for compute infrastructure that are in human language. The example method includes translating the infrastructure requirements into a physical infrastructure topology using one or more large language models. The example method includes converting the physical infrastructure topology into an executable deployment specification. And, the example method includes executing the deployment specification to automatically configure a target computer system to have the compute infrastructure described by the infrastructure requirements.

The present disclosure relates to network stochastic cross-layer optimization for meeting traffic flow availability goals at minimum cost. Systems and methods for network planning are described. The systems and methods are capable of integrating network traffic requirements, availability requirements, latency, physical infrastructure and networking device capabilities, and detailed cost structures to calculate a network design with minimum or reduced cost compared to conventional methods. In some embodiments, the method includes providing an initial set of deterministic faults, and then continuously performing network optimization and network availability simulation to determine which faults have the greatest impact on the performance of the network model. Highly impactful faults can then be provided back to the system, which generates an improved network design while still maintaining minimum cost.

This invention provides a service function chain routing optimization method for industrial metaverse networks. It acquires real-time basic network state parameters of the underlying physical infrastructure and service attribute characteristics of concurrent collaborative service function chain requests (SFC requests). For each SFC request, it extracts a dimensionality-reduced candidate path set and routing attribute feature vector. It then extracts the relative quality features of the candidate paths, resource contention features among concurrent requests, and hidden state features containing time correlations. This yields the final conflict-free routing path. The method also observes the actual instantaneous QoS of the underlying layer after the SFC service traffic transmission is completed online. A continuous mapping model is constructed, enabling continuous online optimization of SFC routing decisions. This method ensures long-term QoE stability of dynamic networks, improves the collaborative routing quality of SFCs, optimizes instantaneous transmission quality while significantly suppressing long-term QoE decline, and enhances overall stability.

An example method for managing a cell site in a 5G RAN may include determining a physical infrastructure layer, a container orchestration platform on the physical infrastructure layer, and a CNF instance associated with the 5G RAN in the container orchestration platform based on a site identifier associated with the cell site. Based on the physical infrastructure layer, the container orchestration platform, and the CNF instance, the method may include building a logical site resource map representing topological information of the cell site. Further, the method may include monitoring and / or managing the cell site using the logical site resource map.