A novel VM workload prediction using grey forecasting model in cloud data center

Jhu Jyun Jheng, Fan Hsun Tseng, Han Chieh Chao, Li Der Chou

研究成果: 書貢獻/報告類型會議論文篇章同行評審

49 引文 斯高帕斯(Scopus)

摘要

In recent years, the resource demands in cloud environment have been increased incrementally. In order to effectively allocate the resources, the workload prediction of virtual machines (VMs) is a vital issue that makes the VM allocation more instantaneous and reduces the power consumption. In this paper, we propose a workload prediction method using Grey Forecasting model to allocate VMs, which is the first string in the research field. Firstly, we utilize the time-dependent of workload at the same period in every day, and forecast the VM workload tendency towards increasing or decreasing. Next, we compare the predicted value with previous time period on workload usage, then determine to migrate which VM wherein the physical machine (PM) for the balanced workload and lower power consumption. The simulation results show that our proposed method not only uses the fewer data to predict the workload accurately but also allocates the resource of VMs with power saving.

原文???core.languages.en_GB???
主出版物標題International Conference on Information Networking 2014, ICOIN 2014
發行者IEEE Computer Society
頁面40-45
頁數6
ISBN(列印)9781479936892
DOIs
出版狀態已出版 - 2014
事件2014 28th International Conference on Information Networking, ICOIN 2014 - Phuket, Thailand
持續時間: 10 2月 201412 2月 2014

出版系列

名字International Conference on Information Networking
ISSN(列印)1976-7684

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???event.eventtypes.event.conference???2014 28th International Conference on Information Networking, ICOIN 2014
國家/地區Thailand
城市Phuket
期間10/02/1412/02/14

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