Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96181
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | en_US |
dc.creator | Mao, Y | en_US |
dc.creator | Zhang, J | en_US |
dc.creator | Letaief, KB | en_US |
dc.date.accessioned | 2022-11-11T07:56:53Z | - |
dc.date.available | 2022-11-11T07:56:53Z | - |
dc.identifier.issn | 0733-8716 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96181 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. | en_US |
dc.rights | This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. | en_US |
dc.rights | The following article Y. Mao, J. Zhang and K. B. Letaief, "Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices," in IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3590-3605, Dec. 2016 is available at https://doi.org/10.1109/JSAC.2016.2611964. | en_US |
dc.subject | Dynamic voltage and frequency scaling (DVFS) | en_US |
dc.subject | Energy harvesting (EH) | en_US |
dc.subject | Lyapunov optimization | en_US |
dc.subject | Mobile-edge computing (MEC) | en_US |
dc.subject | Power control | en_US |
dc.subject | QoE | en_US |
dc.title | Dynamic computation offloading for mobile-edge computing with energy harvesting devices | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 3590 | en_US |
dc.identifier.epage | 3605 | en_US |
dc.identifier.volume | 34 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.doi | 10.1109/JSAC.2016.2611964 | en_US |
dcterms.abstract | Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing computation demands from mobile applications. By offloading the computationally intensive workloads to the MEC server, the quality of computation experience, e.g., the execution latency, could be greatly improved. Nevertheless, as the on-device battery capacities are limited, computation would be interrupted when the battery energy runs out. To provide satisfactory computation performance as well as achieving green computing, it is of significant importance to seek renewable energy sources to power mobile devices via energy harvesting (EH) technologies. In this paper, we will investigate a green MEC system with EH devices and develop an effective computation offloading strategy. The execution cost, which addresses both the execution latency and task failure, is adopted as the performance metric. A low-complexity online algorithm is proposed, namely, the Lyapunov optimization-based dynamic computation offloading algorithm, which jointly decides the offloading decision, the CPU-cycle frequencies for mobile execution, and the transmit power for computation offloading. A unique advantage of this algorithm is that the decisions depend only on the current system state without requiring distribution information of the computation task request, wireless channel, and EH processes. The implementation of the algorithm only requires to solve a deterministic problem in each time slot, for which the optimal solution can be obtained either in closed form or by bisection search. Moreover, the proposed algorithm is shown to be asymptotically optimal via rigorous analysis. Sample simulation results shall be presented to corroborate the theoretical analysis as well as validate the effectiveness of the proposed algorithm. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE journal on selected areas in communications, Dec. 2016, v. 34, no. 12, p. 3590-3605 | en_US |
dcterms.isPartOf | IEEE journal on selected areas in communications | en_US |
dcterms.issued | 2016-12 | - |
dc.identifier.scopus | 2-s2.0-85009814691 | - |
dc.description.validate | 202211 bckw | en_US |
dc.description.oa | Author’s Original | en_US |
dc.identifier.FolderNumber | RGC-B3-1030 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AO) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Dynamic_ComputatiOffloading_Mobile-Edge.pdf | Preprint version | 452.98 kB | Adobe PDF | View/Open |
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