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A Fault Detection Service for Wide Area Distributed Computations
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
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SEW '02 Proceedings of the 27th Annual NASA Goddard Software Engineering Workshop (SEW-27'02)
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DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
ECBS '04 Proceedings of the 11th IEEE International Conference and Workshop on Engineering of Computer-Based Systems
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IBM Systems Journal
IBM Systems Journal
PAC-MEN: Personal Autonomic Computing Monitoring Environment
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Towards a Systemic Approach to Autonomic Systems Engineering
ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
AMUSE: autonomic management of ubiquitous e-Health systems
Concurrency and Computation: Practice & Experience - Selected Papers from the 2005 U.K. e-Science All Hands Meeting (AHM 2005)
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Advanced Engineering Informatics
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Architecting dependable systems
Elicitation and utilization of application-level utility functions
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
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Like the autonomic responses in the human body, autonomic computing systems recognize their own health problems and, where possible, respond to correct them. Failing that, external help is required. The purpose of this paper is to consider how autonomic systems might be structured to facilitate health monitoring. The approach uses a ‘pulse’ monitor for each autonomic element, which provides a reflex reaction facility and basic information on the current state (health) of that element. The pulse mechanism extends the NASA beacon monitor concept. The different ways that pulse information might be communicated and used are examined. The discussion is illustrated with a personal computing example.