Decentralizing Computation with Edge Computing: Potential and Challenges

Conference Paper (2021)
Author(s)

Aleksandr Zavodovski

Lorenzo Corneo

Andreas Johnsson

Nitinder Mohan (Technische Universität München)

Suzan Bayhan

Pengyuan Zhou

Walter Wong

Jussi Kangasharju

DOI related publication
https://doi.org/10.1145/3488663.3493689 Final published version
More Info
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Publication Year
2021
Language
English
Pages (from-to)
34–36
ISBN (print)
9781450391382
ISBN (electronic)
9781450391382
Downloads counter
167

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.