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| Pyxis plus : A Scalable and Adaptive Data Replication Framework | |
| Yang, Yuwei; Jin, Beihong; Li, Sen | |
| 2013 | |
| Conference Name | 9th International Conference on Active Media Technology (AMT) |
| Pages | 401-412 |
| Conference Date | OCT 29-31, 2013 |
| Conference Place | Maebashi, JAPAN |
| Indexed Type | CPCI |
| Publish Place | SPRINGER-VERLAG BERLIN |
| ISSN | 0302-9743 |
| ISBN | 978-3-319-02750-0; 978-3-319-02749-4 |
| Department | [Yang, Yuwei] Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China. |
| English Abstract | Data replication can improve the performance and availability for applications, and when it is employed by big data applications, it has to solve the challenges posed by big data applications, i.e., offering scalability and varying consistency levels. In this paper, we design and implement a data replication framework Pyxis+, whereby replication-aware applications can be developed in a rapid and convenient way. Pyxis+ allows the applications to register different consistency levels and automatically switches the consistency levels according to the change of requirements and performance. Meanwhile, on the basis of the consistency guarantees, Pyxis+ takes advantage of the consistent hashing technology to improve the scalability of data access. Simulation experimental results show that Pyxis+ can obtain relatively stable throughputs and response time by adding or removing replica managers while facing the increase of user requests.; Data replication can improve the performance and availability for applications, and when it is employed by big data applications, it has to solve the challenges posed by big data applications, i.e., offering scalability and varying consistency levels. In this paper, we design and implement a data replication framework Pyxis+, whereby replication-aware applications can be developed in a rapid and convenient way. Pyxis+ allows the applications to register different consistency levels and automatically switches the consistency levels according to the change of requirements and performance. Meanwhile, on the basis of the consistency guarantees, Pyxis+ takes advantage of the consistent hashing technology to improve the scalability of data access. Simulation experimental results show that Pyxis+ can obtain relatively stable throughputs and response time by adding or removing replica managers while facing the increase of user requests. |
| Keyword | Replication Framework Consistency Level Scalability |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16534 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Yang, Yuwei,Jin, Beihong,Li, Sen. Pyxis plus : A Scalable and Adaptive Data Replication Framework[C]. SPRINGER-VERLAG BERLIN,2013:401-412. |
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