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| Content Provider | ACM Digital Library |
|---|---|
| Author | Alonso, Gustavo Patiño-martinez, Marta Kemme, Bettina Jiménez-peris, Ricardo |
| Copyright Year | 2005 |
| Abstract | The widespread use of clusters and Web farms has increased the importance of data replication. In this article, we show how to implement consistent and scalable data replication at the middleware level. We do this by combining transactional concurrency control with group communication primitives. The article presents different replication protocols, argues their correctness, describes their implementation as part of a generic middleware, Middle-R, and proves their feasibility with an extensive performance evaluation. The solution proposed is well suited for a variety of applications including Web farms and distributed object platforms. |
| Starting Page | 375 |
| Ending Page | 423 |
| Page Count | 49 |
| File Format | |
| ISSN | 07342071 |
| e-ISSN | 15577333 |
| DOI | 10.1145/1113574.1113576 |
| Volume Number | 23 |
| Issue Number | 4 |
| Journal | ACM Transactions on Computer Systems (TOCS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-11-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Database replication Eager data replication Middleware Scalability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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