Whispering: Joint Service Offloading and Computation Reuse in Cloud-Edge Networks.

Boubakr Nour, Spyridon Mastorakis, Abderrahmen Mtibaa
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引用次数: 9

Abstract

Due to the proliferation of Internet of Things (IoT) and application/user demands that challenge communication and computation, edge computing has emerged as the paradigm to bring computing resources closer to users. In this paper, we present Whispering, an analytical model for the migration of services (service offloading) from the cloud to the edge, in order to minimize the completion time of computational tasks offloaded by user devices and improve the utilization of resources. We also empirically investigate the impact of reusing the results of previously executed tasks for the execution of newly received tasks (computation reuse) and propose an adaptive task offloading scheme between edge and cloud. Our evaluation results show that Whispering achieves up to 35% and 97% (when coupled with computation reuse) lower task completion times than cases where tasks are executed exclusively at the edge or the cloud.

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窃窃私语:云边缘网络中的联合服务卸载和计算重用。
由于物联网(IoT)的激增以及挑战通信和计算的应用/用户需求,边缘计算已成为使计算资源更接近用户的范例。在本文中,我们提出了whisper,一个服务迁移(服务卸载)从云到边缘的分析模型,以最大限度地减少由用户设备卸载的计算任务的完成时间并提高资源利用率。我们还实证研究了重用先前执行的任务的结果对执行新接收的任务(计算重用)的影响,并提出了边缘和云之间的自适应任务卸载方案。我们的评估结果表明,与只在边缘或云上执行任务的情况相比,whisper的任务完成时间可降低35%和97%(与计算重用相结合)。
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Whispering: Joint Service Offloading and Computation Reuse in Cloud-Edge Networks. A Comparative Study of Alamouti and Golden Space-Time Block Codes Efficient and cryptographically secure pseudorandom number generators based on chains of hybrid cellular automata maps FPGA implementation and evaluation of two cryptographically secure hybrid cellular automata Network tomography using end-to-end multicast measurements (invited talk)
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