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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mills, K. Dabrowski, C. |
| Abstract | Service-discovery systems aim to provide consistent views of distributed components under varying network conditions. To achieve this aim, designers rely upon a variety of self-healing strategies, including: architecture and topology, failure-detection and recovery techniques, and consistency maintenance mechanisms. In previous work, we showed that various combinations of self-healing strategies lead to significant differences in the ability of service-discovery systems to maintain consistency during increasing network failure. Here, we ask whether the contribution of individual self-healing strategies can be quantified. We give results that quantify the effectiveness of selected combinations of architecture-topology and recovery techniques. Our results suggest that it should prove feasible to quantify the ability of individual self-healing strategies to overcome various failures. A full understanding of the interactions among self-healing strategies would provide designers of distributed systems with the knowledge necessary to build the most effective self-healing systems with minimum overhead. |
| Starting Page | 15 |
| Ending Page | 20 |
| Page Count | 6 |
| File Format | |
| ISBN | 1581136099 |
| DOI | 10.1145/582128.582132 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-11-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Architecture Self-healing systems Self-repairing systems Service discovery |
| Content Type | Text |
| Resource Type | Article |
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