Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90729
DC Field | Value | Language |
---|---|---|
dc.contributor | Institute of Textiles and Clothing | - |
dc.creator | Tang, C | - |
dc.creator | Xia, S | - |
dc.creator | Li, Q | - |
dc.creator | Chen, W | - |
dc.creator | Fang, W | - |
dc.date.accessioned | 2021-09-03T02:33:20Z | - |
dc.date.available | 2021-09-03T02:33:20Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/90729 | - |
dc.language.iso | en | en_US |
dc.publisher | SpringerOpen | en_US |
dc.rights | © The Author(s). 2021 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Tang, C., Xia, S., Li, Q. et al. Resource pooling in vehicular fog computing. J Cloud Comp 10(1), 19 (2021) is available at https://doi.org/10.1186/s13677-021-00233-x | en_US |
dc.subject | Provision | en_US |
dc.subject | Resource allocation | en_US |
dc.subject | Resource pooling | en_US |
dc.subject | Task scheduling | en_US |
dc.subject | Vehicular fog computing | en_US |
dc.title | Resource pooling in vehicular fog computing | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1186/s13677-021-00233-x | - |
dcterms.abstract | Vehicular fog computing (VFC) provisions computing services at the edge of networks by fully exploiting the idle resources of vehicle loaded computer systems. Task scheduling and resource allocation revolved around VFC have gained tremendous attention recently. Currently, most of these works in VFC have focused on response time optimization or energy reduction. Computing services are provisioned in a pay-as-you-go model and vehicles as resource contributors are stimulated by the benefits obtained by leasing these resources. How to maximize their own benefits is one of big concerns but few of current works have recognized its importance in VFC. We in this paper introduce the notion of resource pooling into VFC where the computing resources of vehicles are pooled together to jointly provision computational services in a community. A genetic algorithm based strategy is proposed to solve the optimization problem for the sake of benefit maximization. Extensive experiments have been carried out to evaluate the approach and the numeric results have demonstrated that our strategy outstands other approaches with regards to the optimization objective. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of Cloud Computing: advances, systems and application, 2021, v. 10, no. 1, 19 | - |
dcterms.isPartOf | Journal of Cloud Computing: advances, systems and application | - |
dcterms.issued | 2021 | - |
dc.identifier.scopus | 2-s2.0-85101541506 | - |
dc.identifier.eissn | 2192-113X | - |
dc.identifier.artn | 19 | - |
dc.description.validate | 202109 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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s13677-021-00233-x.pdf | 1.76 MB | Adobe PDF | View/Open |
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