Edge IOT Proxy Gateway Task Scheduling Method for PIOT Service

• Published in: Proceedings of the 12th International Conference on Computer Engineering and Networks pp. 29 - 37
• Main Authors: Zhang, Jichuan, Wang, Peng, Guo, Shen, Lin, Jiayin, Qin, Sijun, Tan, Chuanyu, Lin, Peng
• Format: Book Chapter
• Language: English
• Published: Singapore Springer Nature Singapore
• Series: Lecture Notes in Electrical Engineering
• Subjects: Computation unloading; Delay sensitive; Load balancing; Mobile edge computing; Virtual power plant
• ISBN: 9811969000; 9789811969003
• ISSN: 1876-1100; 1876-1119
• DOI: 10.1007/978-981-19-6901-0_4

With renewable energy becoming the mainstream of the development of the world energy field in the future, virtual power plant has become a new technology in the field of renewable energy. In the traditional management system, the cloud server is responsible for handling the service needs generated by users, which makes the network face the problem of high latency and large computing pressure, which makes a large number of delay sensitive services unable to be well implemented. At the same time, the scarcity of computing resources makes edge nodes may face computing needs that exceed their own capabilities. This paper proposes an edge server collaborative computing model, which comprehensively utilizes the computing power of service terminals and edge servers, coordinates the unloading rate of computing tasks between different devices, and minimizes the delay and energy consumption. This paper proposes a load balancing model, which flexibly adjusts the task executors to maximize the efficiency of the system. Finally, we simulate the network load balancing model based on the above model. The results show that the system delay, system energy consumption and load quantity should be comprehensively considered in the unloading process.