Decentralizing Computation with Edge Computing: Potential and Challenges

Aleksandr Zavodovski, Lorenzo Corneo, A. Johnsson, Nitinder Mohan, S. Bayhan, Pengyuan Zhou, Walter Wong, J. Kangasharju
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引用次数: 2

Abstract

Edge computing promises to bring computation close to the end-users to support emergent applications such as virtual reality. However, the computational capacity at the edge of the network is currently limited. To become a pervasive paradigm, edge computing needs highly dispersed decentralized deployments, that, contrary to cloud, cannot benefit from economies of scale. In this situation, crowdsourcing appears attractive - there are plenty of computing devices at the disposal of the general public, and these devices are located exactly where computing power is needed the most - at the edge of the network. Crowdsourcing has been a success maker for scientific computing projects, e.g., SETI@home, or distributed ledger systems empowering decentralized finance. However, as of now, there is no crowdsourced system that addresses the needs of edge computing. In this position paper, we aim to identify the causes of this shortcoming, analyze the potential ways to overcome it, and outline future directions.
用边缘计算去中心化计算:潜力和挑战
边缘计算有望使计算更接近最终用户,以支持虚拟现实等紧急应用。然而,目前网络边缘的计算能力是有限的。为了成为一个普遍的范例,边缘计算需要高度分散的分散部署,与云计算相反,它不能从规模经济中受益。在这种情况下,众包看起来很有吸引力——有大量的计算设备可供公众使用,而这些设备恰好位于最需要计算能力的地方——在网络的边缘。众包一直是科学计算项目的成功制造者,例如SETI@home,或分布式账本系统,赋予分散的金融权力。然而,到目前为止,还没有解决边缘计算需求的众包系统。在这篇意见书中,我们的目标是找出这个缺点的原因,分析克服它的潜在方法,并概述未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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