Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid
Since the wide use of virtual technology,the resource use rate in cloud data center has been improved effectively than ever before.However,there is still a large space for improvement due to the resources usually are pre-started and pre-allocated by the user demand rather than the actual needs.In or...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-03-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015084/ |
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| _version_ | 1841529520767631360 |
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| author | Songtao Peng |
| author_facet | Songtao Peng |
| author_sort | Songtao Peng |
| collection | DOAJ |
| description | Since the wide use of virtual technology,the resource use rate in cloud data center has been improved effectively than ever before.However,there is still a large space for improvement due to the resources usually are pre-started and pre-allocated by the user demand rather than the actual needs.In order to allocate available resource more accurately,two algorithms were proposed to meet the needs of the daily use in most of time.The available virtual resources would be arranged according the forecast using the algorithms of hierarchical composition of loading and the peek resources needs would be dynamic allocated using the algorithms of stochastic equilibrium and queuing theory.The results of experiment via the system based upon above theories show that the solution provides a kind of very effective advanced means for the optimal use of resources and energy saves. |
| format | Article |
| id | doaj-art-59f56bdf1f534ff28826ced92c78be1b |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-59f56bdf1f534ff28826ced92c78be1b2025-01-15T03:17:31ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-03-013114214759616005Resource Scheduling for Cloud Data Center Based on Data Mining in Smart GridSongtao PengSince the wide use of virtual technology,the resource use rate in cloud data center has been improved effectively than ever before.However,there is still a large space for improvement due to the resources usually are pre-started and pre-allocated by the user demand rather than the actual needs.In order to allocate available resource more accurately,two algorithms were proposed to meet the needs of the daily use in most of time.The available virtual resources would be arranged according the forecast using the algorithms of hierarchical composition of loading and the peek resources needs would be dynamic allocated using the algorithms of stochastic equilibrium and queuing theory.The results of experiment via the system based upon above theories show that the solution provides a kind of very effective advanced means for the optimal use of resources and energy saves.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015084/data miningsmart grid cloudcloud resource scheduling |
| spellingShingle | Songtao Peng Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid Dianxin kexue data mining smart grid cloud cloud resource scheduling |
| title | Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid |
| title_full | Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid |
| title_fullStr | Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid |
| title_full_unstemmed | Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid |
| title_short | Resource Scheduling for Cloud Data Center Based on Data Mining in Smart Grid |
| title_sort | resource scheduling for cloud data center based on data mining in smart grid |
| topic | data mining smart grid cloud cloud resource scheduling |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015084/ |
| work_keys_str_mv | AT songtaopeng resourceschedulingforclouddatacenterbasedondatamininginsmartgrid |