Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework
<p dir="ltr">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...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513542707740672 |
|---|---|
| author | Sherif B. Azmy (21633329) |
| author2 | Nizar Zorba (16888728) Hossam S. Hassanein (17949206) |
| author2_role | author author |
| author_facet | Sherif B. Azmy (21633329) Nizar Zorba (16888728) Hossam S. Hassanein (17949206) |
| author_role | author |
| dc.creator.none.fl_str_mv | Sherif B. Azmy (21633329) Nizar Zorba (16888728) Hossam S. Hassanein (17949206) |
| dc.date.none.fl_str_mv | 2024-03-29T18:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/ojcoms.2024.3383046 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Incentive-Vacation_Queueing_in_Extreme_Edge_Computing_An_Analytical_Reward-Based_Framework/29715131 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Economics Econometrics Information and computing sciences Distributed computing and systems software Extreme edge computing distributed crowd computing incentive vacation queueing incentive mechanisms performance modeling Servers Edge computing Computational modeling Performance evaluation Task analysis Sharing economy Atmospheric modeling |
| dc.title.none.fl_str_mv | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3383046" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3383046</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_5988740dddb3c06e80d92294a3134f55 |
| identifier_str_mv | 10.1109/ojcoms.2024.3383046 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29715131 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based FrameworkSherif B. Azmy (21633329)Nizar Zorba (16888728)Hossam S. Hassanein (17949206)EconomicsEconometricsInformation and computing sciencesDistributed computing and systems softwareExtreme edge computingdistributed crowd computingincentive vacation queueingincentive mechanismsperformance modelingServersEdge computingComputational modelingPerformance evaluationTask analysisSharing economyAtmospheric modeling<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3383046" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3383046</a></p>2024-03-29T18:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/ojcoms.2024.3383046https://figshare.com/articles/journal_contribution/Incentive-Vacation_Queueing_in_Extreme_Edge_Computing_An_Analytical_Reward-Based_Framework/29715131CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/297151312024-03-29T18:00:00Z |
| spellingShingle | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework Sherif B. Azmy (21633329) Economics Econometrics Information and computing sciences Distributed computing and systems software Extreme edge computing distributed crowd computing incentive vacation queueing incentive mechanisms performance modeling Servers Edge computing Computational modeling Performance evaluation Task analysis Sharing economy Atmospheric modeling |
| status_str | publishedVersion |
| title | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| title_full | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| title_fullStr | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| title_full_unstemmed | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| title_short | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| title_sort | Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework |
| topic | Economics Econometrics Information and computing sciences Distributed computing and systems software Extreme edge computing distributed crowd computing incentive vacation queueing incentive mechanisms performance modeling Servers Edge computing Computational modeling Performance evaluation Task analysis Sharing economy Atmospheric modeling |