Transparent process migration: design alternatives and the sprite implementation
Software—Practice & Experience
Analysis of Preventive Maintenance in Transactions Based Software Systems
IEEE Transactions on Computers
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Monitoring Smoothly Degrading Systems for Increased Dependability
Empirical Software Engineering
CoCheck: Checkpointing and Process Migration for MPI
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
PRDC '00 Proceedings of the 2000 Pacific Rim International Symposium on Dependable Computing
Proactive Detection of Software Aging Mechanisms in Performance Critical Computers
SEW '02 Proceedings of the 27th Annual NASA Goddard Software Engineering Workshop (SEW-27'02)
A Methodology for Detection and Estimation of Software Aging
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
A Measurement-Based Model for Estimation of Resource Exhaustion in Operational Software Systems
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Proactive fault tolerance for HPC with Xen virtualization
Proceedings of the 21st annual international conference on Supercomputing
Proactive management of software aging
IBM Journal of Research and Development
Proactive fault tolerance in MPI applications via task migration
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
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We investigate the problem of ensuring and maximizing performance guarantees for applications suffering software aging. Our focus is the optimization of the minimum and average performance of such applications in virtualized and non-virtualized scenario. The key technique is to use a set of simultaneously active application replica and to optimize their rejuvenation schedules. We derive an analytical method for maximizing the minimum "any-time" performance for certain cases and propose a heuristic method for maximization of minimum and average performance for all others. To evaluate our method we perform extensive studies on two applications: aging profiles of Apache Axis 1.3 and the aging data of the TPC-W benchmark instrumented with a memory leak injector. The results show that our approach is a practical way to ensure uninterrupted availability and optimize performance for even strongly aging applications.