Design and Analysis of an Efficient Multiresource Allocation System for Cooperative Computing in Internet of Things

• Published in: IEEE internet of things journal Vol. 9; no. 16; pp. 14463 - 14477
• Main Authors: Zhang, Xiaoqi, Cheng, Hongju, Yu, Zhiyong, Xiong, Neal N.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.08.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cloud computing; Complexity; Computational modeling; Cooperative computing; Data loss; Deep learning; deep reinforcement learning (DRL); Internet of Things; Machine learning; Mathematical models; Network latency; Optimization; Parameters; Random noise; Reinforcement learning; resource allocation; Resource management; Storage capacity; Task analysis

By migrating tasks from the end devices to the edge or cloud, cooperative computing in the Internet of Things can support time-sensitive, high-dimensional, and complex applications while utilizing existing resources, such as the network bandwidth, computing resources, and storage capacity. How to de...