SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network

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dc.contributor.author Abbas, Nadine
dc.contributor.author Fawaz, Wissam
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Mourad, Azzam
dc.contributor.author Abou-Rjeily, Chadi
dc.date.accessioned 2022-11-17T14:57:44Z
dc.date.available 2022-11-17T14:57:44Z
dc.date.copyright 2022 en_US
dc.date.issued 2022-11-17
dc.identifier.issn 1932-4537 en_US
dc.identifier.uri http://hdl.handle.net/10725/14276
dc.description.abstract Integrating device-to-device (D2D) cooperation with mobile edge computing (MEC) for computation offloading has proven to be an effective method for extending the system capabilities of low-end devices to run complex applications. This can be realized through efficient computing data offloading and yet enhanced while simultaneously using multiple wireless interfaces for D2D, MEC and cloud offloading. In this work, we propose user-centric real-time computation task offloading and resource allocation strategies aiming at minimizing energy consumption and monetary cost while maximizing the number of completed tasks. We develop dynamic partial offloading solutions using the Lyapunov drift-plus-penalty optimization approach. Moreover, we propose a task admission solution based on support vector machines (SVM) to assess the potential of a task to be completed within its deadline, and accordingly, decide whether to drop from or add it to the user’s queue for processing. Results demonstrate high performance gains of the proposed solution that employs SVM-based task admission and Lyapunov-based computation offloading strategies. Significant increase in number of completed tasks, energy savings, and cost reductions are resulted as compared to alternative baseline approaches. en_US
dc.language.iso en en_US
dc.title SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.school SOE
dc.author.idnumber 201802638 en_US
dc.author.idnumber 200602957 en_US
dc.author.idnumber 200904853 en_US
dc.author.idnumber 200701131 en_US
dc.author.department Computer Science & Mathematics en_US
dc.relation.journal IEEE Transactions on Network and Service Management en_US
dc.journal.volume 19 en_US
dc.journal.issue 3 en_US
dc.article.pages 3121-3135 en_US
dc.keywords Task analysis en_US
dc.keywords Peer-to-peer computing en_US
dc.keywords Servers en_US
dc.keywords Costs en_US
dc.keywords Device-to-device communication en_US
dc.keywords Admission control en_US
dc.keywords Resource management en_US
dc.identifier.doi https://doi.org/10.1109/TNSM.2022.3159478 en_US
dc.identifier.ctation Abbas, N., Fawaz, W., Sharafeddine, S., Mourad, A., & Abou-Rjeily, C. (2022). SVM-based Task Admission Control and Computation Offloading using Lyapunov Optimization in Heterogeneous MEC Network. IEEE Transactions on Network and Service Management, 19(3), 3121-3135. en_US
dc.author.email nadine.abbas@lau.edu.lb en_US
dc.author.email wissam.fawaz@lau.edu.lb en_US
dc.author.email azzam.mourad@lau.edu.lb en_US
dc.author.email chadi.abourjeily@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/9733907 en_US
dc.orcid.id https://orcid.org/0000-0003-3028-326X en_US
dc.orcid.id https://orcid.org/0000-0002-8012-1157 en_US
dc.orcid.id https://orcid.org/0000-0001-9434-5322 en_US
dc.orcid.id https://orcid.org/0000-0003-2255-1842 en_US
dc.author.affiliation Lebanese American University en_US

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