Is the island model fault tolerant?
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Characterizing fault tolerance in genetic programming
BADS '09 Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems
Characterizing fault tolerance in genetic programming
Future Generation Computer Systems
A survey of software aging and rejuvenation studies
ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011
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While inherent resource redundancies in distributed applications facilitate gracefully degradable services, methods to enhance their dependability may have subtle, yet significant, performance implications, especially when such applications are stateful in nature. In this paper, we present a performability-oriented framework that enables the realization of software rejuvenation in stateful distributed applications. The framework is constructed based on three building blocks, namely, a rejuvenation algorithm, a set of performability metrics, and a performability model. We demonstrate via model-based evaluation that this framework enables error-accumulation-prone distributed applications to deliver services at the best possible performance level, even in environments in which a system is highly vulnerable to failures.