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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wang, TengJiao Lin, ZiYu Yang, BiShan Gao, Jun Huang, Allen Yang, DongQing Zhang, Qi Tang, ShiWei Niu, JinZhong |
| Copyright Year | 2012 |
| Abstract | With the coming shift to cloud computing, cloud database is emerging to provide database service over the Internet. In the cloud-based environment, data are distributed at Internet scale and the system needs to handle a huge number of user queries simultaneously without delay. How data are distributed among the servers has a crucial impact on the query load distribution and the system response time. In this paper, we propose a market-based control method, called MBA, to achieve query load balance via reasonable data distribution. In MBA, database nodes are treated as traders in a market, and certain market rules are used to intelligently decide data allocation and migration. We built a prototype system and conducted extensive experiments. Experimental results show that the MBA method significantly improves system performance in terms of average query response time and fairness. |
| Starting Page | 1935 |
| Ending Page | 1948 |
| Page Count | 14 |
| File Format | |
| ISSN | 1674733X |
| Journal | Science in China Series : Information Sciences |
| Volume Number | 55 |
| Issue Number | 9 |
| e-ISSN | 18691919 |
| Language | English |
| Publisher | SP Science China Press |
| Publisher Date | 2012-03-11 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | market-based control data distribution load balancing Information Systems and Communication Service |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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