Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82193
Title: A new load balancing strategy by task allocation in edge computing based on intermediary nodes
Authors: Li, GS 
Yao, YH
Wu, JH
Liu, XX
Sheng, XF
Lin, QY
Issue Date: 2020
Source: EURASIP journal on wireless communications and networking, 2 Jan. 2020, v. 2020, no. 1, 3, p. 1-10
Abstract: 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.
Keywords: Edge computing
Load balancing
Task allocation
State assessment
Publisher: Springer
Journal: EURASIP journal on wireless communications and networking 
ISSN: 1687-1472
EISSN: 1687-1499
DOI: 10.1186/s13638-019-1624-9
Rights: © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
The following publication Li, G., Yao, Y., Wu, J. et al. A new load balancing strategy by task allocation in edge computing based on intermediary nodes. J Wireless Com Network 2020, 3, 1-10 (2020) is available at https://dx.doi.org/10.1186/s13638-019-1624-9
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