Video migration strategy based on bandwidth demand prediction and cloud resource reservation
A video migration strategy which is used in P2P-VoD architecture is presented. First it predicts the bandwidth demands of users in each video channel according to the P2P characteristic. And it gives a basis for migrating videos. Then an algorithm of applying cloud resources which is based on the mi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.022/ |
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| _version_ | 1841539749865586688 |
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| author | ONGXin C HUANGKai S USen S ANGFang-chun Y ILing-ling Z |
| author_facet | ONGXin C HUANGKai S USen S ANGFang-chun Y ILing-ling Z |
| author_sort | ONGXin C |
| collection | DOAJ |
| description | A video migration strategy which is used in P2P-VoD architecture is presented. First it predicts the bandwidth demands of users in each video channel according to the P2P characteristic. And it gives a basis for migrating videos. Then an algorithm of applying cloud resources which is based on the minimum bandwidth reservation is proposed. It sat-isfies the real-time of VoD service with the costs as low as possible. Finally the video migration strategies are designed to determine the methods of migration videos. The simulation results indicate that the proposed strategy can get good trade-off between costs and user satisfaction. |
| format | Article |
| id | doaj-art-96e4e789558449f18698872078854810 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-96e4e789558449f186988720788548102025-01-14T06:43:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-05-013516717459681773Video migration strategy based on bandwidth demand prediction and cloud resource reservationONGXin CHUANGKai SUSen SANGFang-chun YILing-ling ZA video migration strategy which is used in P2P-VoD architecture is presented. First it predicts the bandwidth demands of users in each video channel according to the P2P characteristic. And it gives a basis for migrating videos. Then an algorithm of applying cloud resources which is based on the minimum bandwidth reservation is proposed. It sat-isfies the real-time of VoD service with the costs as low as possible. Finally the video migration strategies are designed to determine the methods of migration videos. The simulation results indicate that the proposed strategy can get good trade-off between costs and user satisfaction.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.022/bandwidth demand predictionresource reservationmigration strategycloud-assisted P2P-VoD |
| spellingShingle | ONGXin C HUANGKai S USen S ANGFang-chun Y ILing-ling Z Video migration strategy based on bandwidth demand prediction and cloud resource reservation Tongxin xuebao bandwidth demand prediction resource reservation migration strategy cloud-assisted P2P-VoD |
| title | Video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| title_full | Video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| title_fullStr | Video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| title_full_unstemmed | Video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| title_short | Video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| title_sort | video migration strategy based on bandwidth demand prediction and cloud resource reservation |
| topic | bandwidth demand prediction resource reservation migration strategy cloud-assisted P2P-VoD |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.022/ |
| work_keys_str_mv | AT ongxinc videomigrationstrategybasedonbandwidthdemandpredictionandcloudresourcereservation AT huangkais videomigrationstrategybasedonbandwidthdemandpredictionandcloudresourcereservation AT usens videomigrationstrategybasedonbandwidthdemandpredictionandcloudresourcereservation AT angfangchuny videomigrationstrategybasedonbandwidthdemandpredictionandcloudresourcereservation AT ilinglingz videomigrationstrategybasedonbandwidthdemandpredictionandcloudresourcereservation |