TY - GEN
T1 - Decentralizing Computation with Edge Computing: Potential and Challenges
AU - Zavodovski, Aleksandr
AU - Corneo, Lorenzo
AU - Johnsson, Andreas
AU - Mohan, Nitinder
AU - Bayhan, Suzan
AU - Zhou, Pengyuan
AU - Wong, Walter
AU - Kangasharju, Jussi
PY - 2021
Y1 - 2021
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 - crowdsourcing
KW - cloud computing
KW - blockchain
KW - Edge computing
UR - http://www.scopus.com/inward/record.url?scp=85121714131&partnerID=8YFLogxK
U2 - 10.1145/3488663.3493689
DO - 10.1145/3488663.3493689
M3 - Conference contribution
SN - 9781450391382
T3 - IWCI 2021 - Proceedings of the 2021 ACM CoNEXT Interdisciplinary Workshop on (de)Centralization in the Internet, Part of ACM CoNEXT 2021
SP - 34
EP - 36
BT - Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet
PB - ACM
CY - New York, NY, USA
ER -