NEC had four patents in edge computing during Q2 2024. NEC Corp filed a patent for an intent-based computing jobs assignment framework for mobile edge computing, optimizing virtual topology design and mapping to minimize bandwidth consumption using ILP and a MST-based heuristic algorithm. Another patent describes a computer-implemented method for resource management of stream analytics at individual nodes, including computing output processing rate means, evaluating microservice states, selecting a microservice for resource update, and performing resource allocation updates. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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NEC had no grants in edge computing as a theme in Q2 2024.

Recent Patents

Application: Intent-based network computing job assignment (Patent ID: US20240129195A1)

The patent by NEC Corp introduces an intent-based computing job assignment framework for efficiently handling clients' job requests in mobile edge computing. The framework optimizes virtual topology design and mapping to minimize bandwidth consumption using Integer Linear Programming (ILP) and a modified Steiner tree-based heuristic algorithm. The simulations demonstrate that the heuristic algorithm achieves close to optimal performance compared to the ILP solution.

The computer-implemented method outlined in the claims involves enumerating candidate virtual nodes for each job request, constructing augmented graphs, and Steiner trees to map virtual nodes. The method selects virtual topologies with minimal bandwidth consumption based on the computing model in the request. The augmented graph construction involves establishing links with physical nodes within a certain range from the network access point. The claims also specify the use of modified Steiner trees and the ability to reconfigure job requests for efficient computing job assignment.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.