Toward Self-Healing Multitier Services
Are self-heating database-centric multitier services Utopia or just a hard puzzle? We argue for the latter and aim to identify the missing pieces of this puzzle. We advocate robust and scalable learning-based approaches to self-healing that we expect to work well for a large class of multitier servi...
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| creator | Cook, B. Babu, S. Candea, G. Songyun Duan |
| description | Are self-heating database-centric multitier services Utopia or just a hard puzzle? We argue for the latter and aim to identify the missing pieces of this puzzle. We advocate robust and scalable learning-based approaches to self-healing that we expect to work well for a large class of multitier services. We identify performance-availability problems (PAPs) as the most relevant target for self-healing, and argue that PAPs are best addressed macroscopically. outside the realm of individual tiers. Finally, we lay out a research agenda for learning-based approaches to self-healing, to enable wider deployment of self-healing multi-tier services. |
| doi_str_mv | 10.1109/ICDEW.2007.4401025 |
| format | Conference Proceeding |
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| identifier | ISBN: 9781424408313 |
| ispartof | 2007 IEEE 23rd International Conference on Data Engineering Workshop, 2007, p.424-432 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cloud computing Grid computing History Humans Logic Robustness Statistics Sun Transaction databases Web server |
| title | Toward Self-Healing Multitier Services |
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