Mobile service selection in edge and cloud computing environment with grey wolf algorithm
by Ming Zhu; Siyuan Meng; Jing Li; Song Yan
International Journal of Web and Grid Services (IJWGS), Vol. 18, No. 3, 2022

Abstract: The proliferation of mobile devices has resulted in the tremendous development of edge computing. A common mechanism is that once the requests from the users are too complex to be afforded by a single service, then edge computing services ought to step in. Nevertheless, services on edge servers are most commonly resource-constrained and unstable. To this end, we propose a novel solution for the mobile service selection problem with edge and cloud computing. An extended grey wolf algorithm is presented; specifically, crossover operator and roulette wheel are applied in reproduction and selection operations. Comparative experiments are implemented between our approach and other nature-inspired algorithms to verify the effectiveness and efficiency, which demonstrate our method may find a solution with better QoS values.

Online publication date: Thu, 30-Jun-2022

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