H04L41/083

FLOW ORCHESTRATION FOR NETWORK CONFIGURATION
20230261942 · 2023-08-17 ·

According to one example, a method performed by a computing system includes receiving a request for optimizing a communication network, the request defining a set of demands for the communication network, each demand of the set of demands having two or more endpoints, a diversity policy, a number of routes, and a set of constraints. The method further includes selecting a subset of optimization functions from a set of optimization functions, the selecting being based on characteristics of the communication network and a decision tree. The method further includes using the selected subset of optimization functions, determining an initial solution for the communication network, the initial solution comprising assignment of routes within demands of the set of demands. The method further includes, within a time constraint, iteratively applying an updated subset of optimization functions with modified parameters to reduce a cost of the initial solution to produce an optimal solution.

FLOW ORCHESTRATION FOR NETWORK CONFIGURATION
20230261942 · 2023-08-17 ·

According to one example, a method performed by a computing system includes receiving a request for optimizing a communication network, the request defining a set of demands for the communication network, each demand of the set of demands having two or more endpoints, a diversity policy, a number of routes, and a set of constraints. The method further includes selecting a subset of optimization functions from a set of optimization functions, the selecting being based on characteristics of the communication network and a decision tree. The method further includes using the selected subset of optimization functions, determining an initial solution for the communication network, the initial solution comprising assignment of routes within demands of the set of demands. The method further includes, within a time constraint, iteratively applying an updated subset of optimization functions with modified parameters to reduce a cost of the initial solution to produce an optimal solution.

Service quality control device, method, and program

A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

Service quality control device, method, and program

A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

QUARANTINE FOR CLOUD-BASED SERVICES
20230254279 · 2023-08-10 ·

A quarantine system could be disposed between an outer firewall and an inner firewall. The quarantine system may include persistent storage containing mappings between computing devices disposed within the inner firewall and data sources disposed outside the outer firewall. The quarantine system may include one or more processors configured to perform operations that include requesting and receiving, based on the mappings, a software-related update from a data source, the software-related update being targeted for deployment on the computing devices. The operations may also include assigning the software-related update for review by a group of one or more agents authorized to approve or reject the software-related update. The operations may also receiving an indication that the software-related update has been approved by the one or more agents and, responsive to receiving the indication, transmitting, based on the mappings, the software-related update to a recipient device within the inner firewall.

Network configuration method and device

A network configuration method includes determining an end-to-end latency upper bound of data traffic between two end nodes, determining an end-to-end latency constraint of the data traffic between the two end nodes, determining, based on the end-to-end latency upper bound and the end-to-end latency constraint, for a first network shaper, at least one configuration parameter that satisfies the end-to-end latency constraint, and configuring the first network shaper for the data traffic based on the at least one configuration parameter such that the traffic after being shaped by the shaper satisfies the network latency constraint.

Acceleration of Data Between a Network and Local I/O in a NUMA System
20220121583 · 2022-04-21 · ·

A system includes a central processing unit (CPU) including semiconductor dies, wherein each semiconductor die includes processing cores. The system includes a multi-host network interface card (NIC). The NIC includes an external connection interface circuit and CPU interface circuits. The NIC is coupled to an external data source through the external connection interface circuit and to each the semiconductor dies through a respective CPU interface circuit. The NIC is configured to receive data from the external data source for a different peripherals separately connected to semiconductor dies, and route the data for peripherals through respective CPU interface circuits.

System and method for supporting fast hybrid reconfiguration in a high performance computing environment

A hybrid reconfiguration scheme can allow for fast partial network reconfiguration with different routing algorithms of choice in different subparts of the network. Partial reconfigurations can be orders of magnitude faster than the initial full configuration, thus making it possible to consider performance-driven reconfigurations in lossless networks.

System and method for supporting fast hybrid reconfiguration in a high performance computing environment

A hybrid reconfiguration scheme can allow for fast partial network reconfiguration with different routing algorithms of choice in different subparts of the network. Partial reconfigurations can be orders of magnitude faster than the initial full configuration, thus making it possible to consider performance-driven reconfigurations in lossless networks.

PROCESSING DATA USING REMOTE NETWORK COMPUTING RESOURCES
20210367904 · 2021-11-25 ·

Embodiments include methods for managing the processing of data and performing computing tasks of a wireless device using computing resources of a remote network computing device. A wireless device and a network computing device may dynamically track factors affecting a round-trip latency of a computing task. The wireless device and the network computing device may generate and send metadata including the factors and a latency budget for the computing task. The wireless device and the network computing device may adjust a processing time for processing data related to the computing task based the received metadata and the latency budget.