25 results about "Metrics" patented technology

Systems and methods are disclosed for optimizing network routing and data processing through dynamic route optimization. The invention features a dynamic route optimization engine that uses real-time performance metrics such as latency, bandwidth availability, memory utilization, CPU load, and throughput capacity. It allows for rule-based configurations, enabling custom parameters for transaction processing, data retrieval, and user authorization. Integration with network monitoring tools provides continuous visibility into network performance. The system supports multi-cloud and hybrid cloud environments, dynamically selecting optimal paths based on real-time conditions and regulatory compliance. Predictive analytics anticipate network congestion, allowing proactive routing adjustments. Adaptive algorithms learn from past conditions to optimize performance continuously. Scalability is achieved through automated updates to routing tables and security groups. The invention reduces latency and ensuring efficient data transfer, providing a cost-effective and reliable solution for modern network management, addressing a long-standing need for adaptability and efficiency in network routing.

A system is provided for optimizing dynamic routing in a capsule network. The system includes an autoencoder configured to encode input data into a latent space representation; a plurality of capsule networks comprising capsule layers; and a generative adversarial network (GAN) including (a) a generator that receives the latent space representation and a noise vector and outputs routing coefficients, and (b) a discriminator that evaluates the routing coefficients by assessing performance metrics from one or more of the capsule networks. The routing coefficients determine how outputs from a capsule layer in one capsule network are routed to a capsule layer in another. Based on performance feedback, the discriminator adjusts the generator for subsequent iterations to improve routing effectiveness. This architecture enables adaptive, performance-optimized routing across modular capsule networks using adversarial learning.

Techniques are disclosed for computing a cost of an advertised route to a next-hop network device along a path to a destination based at least in part on a preference for the path. In one example, a computing system computes a cost of a route to a next-hop network device along a path to a destination. The computed cost is based at least in part on (1) a metric for the route and (2) a preconfigured preference for the path. In some examples, the preference for the path is based at least in part on (a) a type of the path as compared to other types of other paths to the destination or (b) a latency of the path as compared to other latencies of the other paths. The computing system sends a route advertisement for the route that includes data indicative of the cost of the route.

An off-path or in-path connection-ordering update (COU) function enables the relative priorities of network and compute metrics to be fine-tuned when generating global utility values used to generate a re-ordered list from an initial list of Internet Protocol (IP) addresses corresponding to a domain name identified by an application client. The initial list may contain IP addresses of edge servers corresponding to the domain name. The re-ordered list may contain either (i) the (re-ordered) edge-server IP addresses or (ii) IP address pairs identifying the (re-ordered) edge-server IP addresses and IP addresses of corresponding egress edge routers of an intervening routing network also having an ingress edge router connected to the application client.

This application discloses a routing method, including: A first user site egress device receives identification information of a target object, a first path index, and a first path performance metrics that are advertised by a first gateway, where the first path index identifies a first path for the first gateway to access the target object, and the first path performance metrics indicates performance of the first path. After receiving the identification information of the target object, the first path index, and the first path performance metrics, the first user site egress device selects, based on the first path performance metrics, a target path for accessing the target object. It can be learned that, according to the solutions, the selected target path can provide good quality of service.

The present disclosure relates to multi-path routing of a switch fabric. The switch fabric uses traffic congestion information to inform its timely use of non-minimal routes. An ingress port of a network switch collects traffic congestion information from egress ports of the network switch. The traffic congestion information includes minimal and non-minimal route congestion metrics for the egress ports. Candidate egress ports are identified for forwarding a packet to a destination node. One of the candidate egress ports is selected in accordance with the traffic congestion information. The selection process favors selecting some candidate egress ports over others. In particular, non-minimal routes to the destination node and candidate egress ports having high minimal route congestion metrics are disfavored by the selection process.

Aspects of the subject disclosure may include, for example, responsive to a request for an end-to-end service, obtaining power-related data for each of a plurality of network elements, identifying a set of candidate service routes that is each associated with a respective subset of the plurality of network elements, for each of the candidate service routes, calculating at least one power metric based on the power-related data of each network element in the respective subset associated with that candidate service route, resulting in a plurality of power metrics, and presenting or utilizing the plurality of power metrics to facilitate selection of a desirable service route from the set of candidate service routes for the end to end service. Other embodiments are disclosed.

Systems and methods for generating routing tables and providing these tables to routers in a network for use in routing data to various destination routers. One embodiment comprises an apparatus that includes a centralized controller for a network. The centralized controller is adapted to receive link metrics for a plurality of links between routers in a WAN. For each pair of routers, the centralized controller determines the paths between the router pair, determines suitability metrics for each path, wherein each metric is specific to a corresponding data type, and selects, for each data type, a corresponding subset of the paths between the router pair based at least in part on the suitability metrics for the data type. The centralized controller then transmits, to each of the routers in the WAN, the selected subsets of the paths for the corresponding router.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute.

Systems and methods for optimizing break-out / break-in paths of voice calls between a source operator's (SO) IP Multimedia Core Network Subsystems (IMS) and a target operator's IMS (TO IMS), the method includes: obtaining a voice call originating from a user equipment (UE) in the SO IMS and terminating at an UE in the TO IMS; determining a routing policy for the voice call; determining an optimal TO Interconnect Session Border Controller (ISBC) by applying at least one path metric according to the routing policy to a machine learning (ML) model for determining an optimal route between the SO IMS and the TO IMS; and route the voice call to the optimal TO ISBC, wherein, the ML model, for determining the optimal TO ISBC using, for each of the path metrics, one or more routing parameter rankings of a plurality of possible paths between the SO IMS and the TO IMS.

The application discloses a mixed wireless mesh network routing method and system based on node type and interference perception, and the method comprises the following steps: nodes in a network periodically exchange Hello messages to maintain neighbor information and topology state, and the Hello messages carry queue length, residual energy, position and speed information of the nodes; according to the Hello messages, weight values of Mesh routers and Mesh clients in the network are respectively calculated; based on the weight values, routing metrics of gateway-oriented traffic and client-oriented traffic are respectively calculated; on-demand routing discovery is performed by using a route request and a route reply message, wherein an intermediate node updates the routing metrics based on the weight values, a destination node or a Mesh router which knows a path to the destination node replies to the route reply, and a source node selects a path for data transmission according to the routing metrics; when a link is broken or a network topology changes, a source node is informed by a route error message, and a new routing discovery process is triggered.

A routing decisions node (RDN) of a virtual gateway established for traffic of an application group generates a replication graph representing paths for replicating messages from a message producer of the application group to a set of message consumers of the application group such that end-to-end latencies to individual ones of the message consumers satisfy a performance requirement of the application group. The graph is generated based at least partly on end-to-end message replication latency requirements of the application group, and on message latency metrics of packet processing nodes (PPNs) of the virtual gateway. The RDN sends the graph to a PPN. The PPN receives an application data message of the application group, and sends it to a destination indicated in the graph.

Embodiments herein comprise obtaining states of network links of paths from an initiator (e.g., host) to a target (e.g., storage subsystem) to determine weight factors for the paths in a multipath scenario between the initiator and the target. Given the weight factors, they may be used with an NVMe initiator implementation of a multipath weight / load-balancing methodology or system to distribute workloads (e.g., IO tasks / requests) across the paths of the set of paths in the multipath. In one or more embodiments, each state may have a metric associated with it, which may act as a cost or be used to determine / assign a cost to the corresponding link. In one or more embodiments, one or more additional rules may be set for converting metrics to costs, costs and / or metrics to weights, and / or for distributing the workloads.

The invention relates to the technical field of wireless sensor medium access control, and discloses a wireless sensor network data transmission method and system based on link cost. According to the method, a composite routing metric model based on the link cost LC is designed, a weak factor link cost WF-LC function and a strong factor link cost SF-LC function are constructed, the link cost is calculated by comprehensively considering multiple factors, the problem that traditional routing metric is single is solved, and a routing decision better fits the actual situation of a network.

Systems and methods described herein relate to automatically generating routing designs. In one embodiment, a system simplifies the geometry of a computerized representation of a target system in which one or more of electrical wires, optical cables, pipes, and hoses are to be routed from a first set of connection points to a second set of connection points. The system also identifies automatically candidate route paths between the first and second sets of connection points. The system also generates automatically, based on the candidate route paths, alternative route sets in accordance with one or more constraints. The system also clusters automatically the alternative route sets into groups based, at least in part, on a multi-factor similarity metric that is a sum of weighted single-factor distance, interference, and composition similarity metrics. A particular route set selected from among the alternative route sets in the groups is implemented in the target system.

The subject technology provides for route identification and clustering for real-time mapping. Various clustering techniques can identify groupings of relevant prior routes that can later be mapped against a current route. Filtering and matching techniques can be applied to identify and cluster prior routes. Tracked activity can also be compared against applicable prior activities to provide movement metrics and real-time comparisons between current and one or more recorded activities.

The present disclosure relates to systems, non-transitory computer-readable media, and methods that improve efficiency and flexibility of implementing computer devices by providing efficient user interfaces to provider devices that include optimal digital routes selected based on dynamic route efficiency metrics. In particular, the disclosed systems can identify and surface an optimal alternative route from a pickup location to a drop-off location associated with a transportation match based on a variety of dynamic non-temporal factors. The disclosed systems can utilize a variety of computer implemented models to determine non-temporal factors, such as distance efficiency metrics, route-segment access efficiency metrics, congestion efficiency metrics, risk efficiency metrics, and match-based efficiency metrics. The disclosed systems can then combine these non-temporal factors utilizing a common efficiency framework to determine and surface an optimal alternative route.

The subject technology provides for route identification and clustering for real-time mapping. Various clustering techniques can identify groupings of relevant prior routes that can later be mapped against a current route. Filtering and matching techniques can be applied to identify and cluster prior routes. Tracked activity can also be compared against applicable prior activities to provide movement metrics and real-time comparisons between current and one or more recorded activities.

Techniques are disclosed for computing a cost of an advertised route to a next-hop network device along a path to a destination based at least in part on a preference for the path. In one example, a computing system computes a cost of a route to a next-hop network device along a path to a destination. The computed cost is based at least in part on (1) a metric for the route and (2) a preconfigured preference for the path. In some examples, the preference for the path is based at least in part on (a) a type of the path as compared to other types of other paths to the destination or (b) a latency of the path as compared to other latencies of the other paths. The computing system sends a route advertisement for the route that includes data indicative of the cost of the route.

In one implementation, a device generates a routing graph using path trace data, wherein nodes of the routing graph represent different entities in one or more computer networks. The device computes importance metrics for the nodes in the routing graph based on their traffic loads. The device generates an insight regarding the one or more computer networks based on the importance metrics for the nodes. The device provides the insight to a user interface for presentation to a user.

The invention discloses a controllable-scale multi-path routing method and system based on a virtual layering thought, and relates to the technical field of wireless communication, and the method comprises the steps: receiving to-be-transmitted data, inputting the to-be-transmitted data into a pre-established machine learning model, and outputting to obtain the importance degree of the to-be-transmitted data, dynamically adjusting the number of routing paths based on the importance degree of the to-be-transmitted data; obtaining the shortest hop count from the source node to the destination node based on a routing interaction process to the destination node initiated by the source node, and determining a control area of the out-of-layer multi-path routing according to the adjusted routing path number and the shortest hop count from the source node to the destination node; based on a pre-established intra-layer active routing table and an extra-layer multi-path routing control area, an optimal transmission path is selected for data to be transmitted for transmission in combination with routing metrics, and the routing metrics comprise link reliability, node load and actual hop count.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute

Systems and methods are provided for receiving bandwidth metrics from a plurality of routers on respective link routes in a network, compiling a link database including the bandwidth metrics of each respective link route in the network, selecting a first designated link path from the link database between a first router and a second router based on an application routing policy, the application routing policy being based on a routing metric, providing a first multiprotocol label switching label based on the first designated link path to the first router of the plurality of routers in the network, and restricting network traffic of the first router to the first designated link path provided in the first multiprotocol label switching label.

The invention discloses a hybrid wireless mesh network routing method and system based on node types and interference awareness, and the method comprises the steps: nodes in a network periodically exchange Hello messages so as to maintain neighbor information and a topological state, and carry queue length, residual energy, position and speed information of the nodes; according to the Hello message, respectively calculating weight values of a Mesh router and a Mesh client in the network; respectively calculating routing metrics of the gateway-oriented traffic and the client-oriented traffic based on the weight values; on-demand routing discovery is carried out by using a routing request and a routing reply message, an intermediate node updates a routing metric based on a weight value, a destination node or a Mesh router knowing a path to the destination node replies a routing reply, and a source node selects a path according to the routing metric to carry out data transmission; and when the link is broken or the network topology is changed, notifying a source node through a routing error message, and triggering a new routing discovery process.

Systems, methods, and machine-readable media facilitate adaptive multi-system operations. Electronic communications from resource-controlling systems and / or monitoring devices may be monitored to identify signals corresponding to processes performed by the resource-controlling systems, resource capacities of resources controlled by the resource-controlling systems, and states of the resource-controlling systems. System interactions that correspond to a defined event may be detected. A protocol that includes parameter constraints mapped to the defined event identified. Operating conditions of the resource-controlling systems and / or metrics of processes performed may be determined based on the monitoring. A subset of the resource-controlling systems may be identified as a function of the operating conditions and / or the metrics. A resource-controlling system may be caused to allocate corresponding resources and perform the processes in accordance with the protocol.