Decentralizing Computation with Edge Computing: Potential and Challenges

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

doi:10.1145/3488663.3493689

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 proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

168 Downloads (Pure)

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 language	English
Title of host publication	IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet
Publisher	ACM Publishing
Pages	34-36
Number of pages	3
ISBN (Electronic)	978-1-4503-9138-2
DOIs	https://doi.org/10.1145/3488663.3493689
Publication status	Published - 7 Dec 2021
Event	17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021 - Virtual, Munich, Germany Duration: 7 Dec 2021 → 10 Dec 2021 Conference number: 17 https://conext-21-iwci.named-data.net/

Conference

Conference	17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021
Abbreviated title	CoNEXT
Country/Territory	Germany
City	Munich
Period	7/12/21 → 10/12/21
Internet address	https://conext-21-iwci.named-data.net/

Keywords

2022 OA procedure

Access to Document

10.1145/3488663.3493689

deChallenge-iwci-2021Final published version, 381 KBLicence: Taverne

Cite this

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title = "Decentralizing Computation with Edge Computing: Potential and Challenges",

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.",

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

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booktitle = "IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet",

publisher = "ACM Publishing",

note = "17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021, CoNEXT ; Conference date: 07-12-2021 Through 10-12-2021",

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Zavodovski , A, Corneo, L, Johnsson, A, Mohan, N, Bayhan, S, Zhou, P, Wong, W & Kangasharju, J 2021, Decentralizing Computation with Edge Computing: Potential and Challenges. in IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet. ACM Publishing, pp. 34-36, 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021, Munich, Germany, 7/12/21. https://doi.org/10.1145/3488663.3493689

Decentralizing Computation with Edge Computing: Potential and Challenges. / Zavodovski , Aleksandr ; Corneo, Lorenzo ; Johnsson, Andreas et al.
IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet. ACM Publishing, 2021. p. 34-36.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021

AU - Zavodovski , Aleksandr

AU - Corneo, Lorenzo

AU - Johnsson, Andreas

AU - Mohan, Nitinder

AU - Bayhan, Suzan

AU - Zhou, Pengyuan

AU - Wong, Walter

AU - Kangasharju, Jussi

N1 - Conference code: 17

PY - 2021/12/7

Y1 - 2021/12/7

N2 - 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.

AB - 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.

KW - 2022 OA procedure

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DO - 10.1145/3488663.3493689

M3 - Conference contribution

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BT - IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet

PB - ACM Publishing

Y2 - 7 December 2021 through 10 December 2021

ER -

Decentralizing Computation with Edge Computing: Potential and Challenges

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