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AuthorAzmy, Sherif B.
AuthorZorba, Nizar
AuthorHassanein, Hossam S.
Available date2024-07-14T07:57:21Z
Publication Date2024
Publication NameIEEE Open Journal of the Communications Society
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/OJCOMS.2024.3383046
ISSN2644125X
URIhttp://hdl.handle.net/10576/56599
AbstractEdge Computing (EC) emerged to address the cloud's shortcomings in meeting demand and latency requirements, leading to a shift in computation closer to the end-user. Extreme Edge Computing (XEC) extends this approach by utilizing nearby user-owned computational resources to support latency-sensitive applications in a distributed manner. In this study, we introduce Reward Edge Computing (REC), a variant of XEC, where service providers recruit user devices for infrastructure support, offering rewards in return. We explore the use of Incentive-Vacation Queueing (IVQ) to manage REC and analyze both its long-term and short-term performance. Our analysis focuses on the choice of an Incentive-Vacation Function (IVF), a contractual function between workers and service providers, proposing a tunable model favoring either party. We provide closed-form expressions for long-term worker behavior under uniform workload pricing and analyze the system's overall short-term operation, including the time a worker spends in the system. REC and IVQ aim to commodify computational resources for edge services, akin to sharing economy models like Uber and Airbnb, utilizing user-owned infrastructure.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectdistributed crowd computing
Extreme edge computing
incentive mechanisms
incentive vacation queueing
performance modeling
TitleIncentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework
TypeArticle
Pagination2183-2195
Volume Number5
dc.accessType Open Access


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