Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/99303
DC FieldValueLanguage
dc.contributor.authorHsueh-Wen Tsengzh_TW
dc.contributor.authorTing-Ting Yangzh_TW
dc.contributor.authorKai-Cheng Yangzh_TW
dc.contributor.authorPei-Shan Chenzh_TW
dc.contributor.author曾學文zh_TW
dc.date2018-02-01-
dc.date.accessioned2019-12-19T05:34:07Z-
dc.date.available2019-12-19T05:34:07Z-
dc.identifier.urihttp://hdl.handle.net/11455/99303-
dc.description.abstractAs cloud computing services have gained popularity, users view videos on websites (e.g., YouTube) to generate high CPU resource utilization and bandwidth for video streaming data centers. However, popular videos result in power-law features to cause imbalanced resource utilization. In addition, hotspot and idle servers generate extra power consumption in data centers. Previous studies considered to satisfy the requirements of users, provide faster access rates and save power consumption. However, fewer studies considered resource utilization with different popularity videos. Therefore, this paper proposes an energy efficient virtual machine (VM) management scheme with power-law features (VMPL). VMPL predicts the resource utilization of the video in the future based on the popularity, ensures enough resources for upcoming videos, and turns off idle servers for power saving. Simulation results validated by mathematical analysis show that VMPL has the best resource utilization and the lowest power consumption compared with Nash and Best-Fit algorithms.zh_TW
dc.language.isoenzh_TW
dc.publisherIEEE Transactions on Parallel and Distributed Systemszh_TW
dc.relationIEEE Transactions on Parallel and Distributed Systems ( Volume: 29 , Issue: 2 , Feb. 1 2018 )zh_TW
dc.relation.urihttps://ieeexplore.ieee.org/document/8039288zh_TW
dc.subjectVideo streaming data centerzh_TW
dc.subjectpower-lawzh_TW
dc.subjectVM migrationzh_TW
dc.subjectYouTubezh_TW
dc.titleAn Energy Efficient VM Management Scheme with Power-Law Characteristic in Video Streaming Data Centerszh_TW
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1109/TPDS.2017.2753229zh_TW
dc.awards2018zh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.fulltextwith fulltext-
item.languageiso639-1en-
item.grantfulltextrestricted-
Appears in Collections:資訊科學與工程學系所
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