Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework
Author | Azmy, Sherif B. |
Author | Zorba, Nizar |
Author | Hassanein, Hossam S. |
Available date | 2024-07-14T07:57:21Z |
Publication Date | 2024 |
Publication Name | IEEE Open Journal of the Communications Society |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/OJCOMS.2024.3383046 |
ISSN | 2644125X |
Abstract | Edge 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. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | distributed crowd computing Extreme edge computing incentive mechanisms incentive vacation queueing performance modeling |
Type | Article |
Pagination | 2183-2195 |
Volume Number | 5 |
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Electrical Engineering [2568 items ]