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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Shishtawy, A. Fayyaz, M.A. Popov, K. Vlassov, V. |
| Copyright Year | 2010 |
| Abstract | Achieving self-management can be challenging, particularly in dynamic environments with resource churn (joins/leaves/failures). Dealing with the effect of churn on management increases the complexity of the management logic and thus makes its development time consuming and error prone. We propose the abstraction of robust management elements (RMEs), which are able to heal themselves under continuous churn. Using RMEs allows the developer to separate the issue of dealing with the effect of churn on management from the management logic. This facilitates the development of robust management by making the developer focus on managing the application while relying on the platform to provide the robustness of management. RMEs can be implemented as fault-tolerant long-living services. We present a generic approach and an associated algorithm to achieve fault-tolerant long-living services. Our approach is based on replicating a service using finite state machine replication with a reconfigurable replica set. Our algorithm automates the reconfiguration (migration) of the replica set in order to tolerate continuous churn. The algorithm uses P2P replica placement schemes to place replicas and uses the P2P overlay to monitor them. The replicated state machine is extended to analyze monitoring data in order to decide on when and where to migrate. We describe how to use our approach to achieve robust management elements. We present a simulation-based evaluation of our approach which shows its feasibility. |
| Starting Page | 31 |
| Ending Page | 40 |
| File Size | 437209 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424485376 |
| DOI | 10.1109/SASO.2010.42 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-27 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling self-management P2P Fault tolerance Fault tolerant systems replicated state machines Lead service migration distributed systems Robustness autonomic computing Arrays Monitoring |
| Content Type | Text |
| Resource Type | Article |
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