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RAS-Models: A Building Block for Self-Healing Benchmarks

Rean Griffith; Ritika Virmani; Gail E. Kaiser

Title:
RAS-Models: A Building Block for Self-Healing Benchmarks
Author(s):
Griffith, Rean
Virmani, Ritika
Kaiser, Gail E.
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
Series:
Columbia University Computer Science Technical Reports
Part Number:
CUCS-049-07
Abstract:
To evaluate the efficacy of self-healing systems a rigorous, objective, quantitative benchmarking methodology is needed. However, developing such a benchmark is a non-trivial task given the many evaluation issues to be resolved, including but not limited to: quantifying the impacts of faults, analyzing various styles of healing (reactive, preventative, proactive), accounting for partially automated healing and accounting for incomplete/imperfect healing. We posit, however,that it is possible to realize a self-healing benchmark using a collection of analytical techniques and practical tools as building blocks. This paper highlights the flexibility of one analytical tool, the Reliability, Availability and Serviceability (RAS) model, and illustrates its power and relevance to the problem of evaluating self-healing mechanisms/systems, when combined with practical tools for fault-injection.
Subject(s):
Computer science
Item views:
47
Metadata:
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