Decentralizing Computation with Edge Computing: Potential and Challenges

Aleksandr Zavodovski , Lorenzo Corneo, Andreas Johnsson, Nitinder Mohan, Suzan Bayhan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationIWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet
PublisherACM Publishing
Pages34-36
Number of pages3
ISBN (Electronic)9781450391382
DOIs
Publication statusPublished - 7 Dec 2021
EventCoNEXT 2021 Interdisciplinary Workshop on (de)Centralization in the Internet, ICWI 2021 - Virtual
Duration: 7 Dec 20217 Dec 2021
https://conext-21-iwci.named-data.net/

Workshop

WorkshopCoNEXT 2021 Interdisciplinary Workshop on (de)Centralization in the Internet, ICWI 2021
Abbreviated titleIWCI
Period7/12/217/12/21
Internet address

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