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Opportunistic computing offloading in edge clouds

机译:边缘云中的机会计算卸载

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Nowadays, the advanced mobile devices provide considerable computation capacity. However, due to the instinct limitation of resources, mobile devices have to offload computation by Mobile Cloud Computing (MCC) and Ad-Hoc Cloudlet for improving the performance and prolonging the battery life. However, efficient model for ad-hoc cloudlet-assisted computation offloading is remaining open issues. In this article, we provide an overview of existing computation offloading modes, e.g. remote cloud service mode and ad-hoc cloudlet-assisted service mode, and propose an opportunistic computation offloading (OPPOCO) to enable a more energy-efficient and intelligent strategy for computation offloading. Moreover, the simulation by OPNET verifies that our proposal is available and practical to improve mobile users' Quality of Service (QoS) and Quality of Experience (QoE). (C) 2018 Published by Elsevier Inc.
机译:如今,先进的移动设备提供了可观的计算能力。但是,由于资源的本能限制,移动设备必须卸载移动云计算(MCC)和Ad-Hoc Cloudlet的计算,以提高性能并延长电池寿命。但是,用于临时Cloudlet辅助计算分流的有效模型仍然是未解决的问题。在本文中,我们概述了现有的计算分载模式,例如远程云服务模式和特设的Cloudlet辅助服务模式,并提出机会性计算分流(OPPOCO),以实现更加节能和智能的计算分流策略。此外,通过OPNET进行的仿真验证了我们的建议是可行的,并且可以提高移动用户的服务质量(QoS)和体验质量(QoE)。 (C)2018由Elsevier Inc.发布

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