详细信息
A new load balancing strategy by task allocation in edge computing based on intermediary nodes ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:A new load balancing strategy by task allocation in edge computing based on intermediary nodes
作者:Li, Guangshun[1,2];Yao, Yonghui[1];Wu, Junhua[1];Liu, Xiaoxiao[3];Sheng, Xiaofei[1];Lin, Qingyan[1]
第一作者:Li, Guangshun
通讯作者:Wu, JH[1]
机构:[1]Qufu Normal Univ, Sch Informat Sci & Engn, Yantai Rd, Rizhao 276826, Peoples R China;[2]Hong Kong Polytech Univ, Dept Comp, Hong Kong 999077, Peoples R China;[3]Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China
第一机构:Qufu Normal Univ, Sch Informat Sci & Engn, Yantai Rd, Rizhao 276826, Peoples R China
通讯机构:[1]corresponding author), Qufu Normal Univ, Sch Informat Sci & Engn, Yantai Rd, Rizhao 276826, Peoples R China.
年份:2020
卷号:2020
期号:1
外文期刊名:EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
收录:;EI(收录号:20200107983074);Scopus(收录号:2-s2.0-85077309026);WOS:【SCI-EXPANDED(收录号:WOS:000512694900002)】;
基金:This work is supported by the National Natural Science Foundation of China (61672321, 61771289, and 61832012), Shandong province key research and development plan (2019GGX101050), Shandong provincial Graduate Education Innovation Program (SDYY14052 and SDYY15049), Qufu Normal University Science and Technology Project (xkj201525), Shandong province agricultural machinery equipment research and development innovation project (2018YZ002), and High-Level Teachers in Beijing Municipal Universities in the Period of the 13th Five-Year Plan (CIT&TCD 201704069).
语种:英文
外文关键词:Edge computing; Load balancing; Task allocation; State assessment
摘要:The latency of cloud computing is high for the reason that it is far from terminal users. Edge computing can transfer computing from the center to the network edge. However, the problem of load balancing among different edge nodes still needs to be solved. In this paper, we propose a load balancing strategy by task allocation in edge computing based on intermediary nodes. The intermediary node is used to monitor the global information to obtain the real-time attributes of the edge nodes and complete the classification evaluation. First, edge nodes can be classified to three categories (light-load, normal-load, and heavy-load), according to their inherent attributes and real-time attributes. Then, we propose a task assignment model and allocate new tasks to the relatively lightest load node. Experiments show that our method can balance load among edge nodes and reduce the completion time of tasks.
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