Resource allocation strategy based on optimal matching auction in the enterprise network
To address the issue that the owners of computer are selfish in the enterprise networks,which caused the low available number of resource nodes and low efficiency of resource allocation,an optimized matching resource allocation strategy OMRA was proposed and its core was the auction mechanism.Selfis...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019186/ |
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| _version_ | 1841539386440679424 |
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| author | Xin CONG Lingling ZI Xueli SHEN |
| author_facet | Xin CONG Lingling ZI Xueli SHEN |
| author_sort | Xin CONG |
| collection | DOAJ |
| description | To address the issue that the owners of computer are selfish in the enterprise networks,which caused the low available number of resource nodes and low efficiency of resource allocation,an optimized matching resource allocation strategy OMRA was proposed and its core was the auction mechanism.Selfishness was restrained and the number of available resources was increased by OMRA,so as the operating efficiency of the whole auction market was improved.First,the initial prices were determined by normalizing the costs of different type of resources on the beginning of auction.Secondly,an optimal matching auction algorithm was designed to maximize the interests of the auction markets.Then,service perfecting algorithm was performed such that the sellers could get more services at the current transaction value,thus ensuring the benefits of resource providers.At last,a request price updating algorithm was adopted to assurance that both sellers and buyers could get priorities in the next auction processing.Compared with the cloud resource allocating algorithm via fitness-enabled auction (CRAA/FA),the experiment results indicate that the efficiency of resource allocation improves by 10% and the benefits of market increase by 11.4%. |
| format | Article |
| id | doaj-art-dea2aab93cea4eb3ac30347c019f356b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-dea2aab93cea4eb3ac30347c019f356b2025-01-14T07:17:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-08-014021222259729328Resource allocation strategy based on optimal matching auction in the enterprise networkXin CONGLingling ZIXueli SHENTo address the issue that the owners of computer are selfish in the enterprise networks,which caused the low available number of resource nodes and low efficiency of resource allocation,an optimized matching resource allocation strategy OMRA was proposed and its core was the auction mechanism.Selfishness was restrained and the number of available resources was increased by OMRA,so as the operating efficiency of the whole auction market was improved.First,the initial prices were determined by normalizing the costs of different type of resources on the beginning of auction.Secondly,an optimal matching auction algorithm was designed to maximize the interests of the auction markets.Then,service perfecting algorithm was performed such that the sellers could get more services at the current transaction value,thus ensuring the benefits of resource providers.At last,a request price updating algorithm was adopted to assurance that both sellers and buyers could get priorities in the next auction processing.Compared with the cloud resource allocating algorithm via fitness-enabled auction (CRAA/FA),the experiment results indicate that the efficiency of resource allocation improves by 10% and the benefits of market increase by 11.4%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019186/optimal matching auctionservice prefetchingthe enterprise networkresource allocation |
| spellingShingle | Xin CONG Lingling ZI Xueli SHEN Resource allocation strategy based on optimal matching auction in the enterprise network Tongxin xuebao optimal matching auction service prefetching the enterprise network resource allocation |
| title | Resource allocation strategy based on optimal matching auction in the enterprise network |
| title_full | Resource allocation strategy based on optimal matching auction in the enterprise network |
| title_fullStr | Resource allocation strategy based on optimal matching auction in the enterprise network |
| title_full_unstemmed | Resource allocation strategy based on optimal matching auction in the enterprise network |
| title_short | Resource allocation strategy based on optimal matching auction in the enterprise network |
| title_sort | resource allocation strategy based on optimal matching auction in the enterprise network |
| topic | optimal matching auction service prefetching the enterprise network resource allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019186/ |
| work_keys_str_mv | AT xincong resourceallocationstrategybasedonoptimalmatchingauctionintheenterprisenetwork AT linglingzi resourceallocationstrategybasedonoptimalmatchingauctionintheenterprisenetwork AT xuelishen resourceallocationstrategybasedonoptimalmatchingauctionintheenterprisenetwork |