A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Personal Autonomic Computing Self-Healing Tool
ECBS '04 Proceedings of the 11th IEEE International Conference and Workshop on Engineering of Computer-Based Systems
IBM Systems Journal
PACT: Personal Autonomic Computing Tools
ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
An Autonomic Architecture for Legacy Systems
EASE '06 Proceedings of the Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems
Constructing an Autonomic Computing Infrastructure Using Cougaar
EASE '06 Proceedings of the Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems
ECMDA-FA'06 Proceedings of the Second European conference on Model Driven Architecture: foundations and Applications
Personal autonomic computing reflex reactions and self-healing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Pervasive services have attracted numerous attentions from both industries and academia. Its very high adaptability demand makes autonomic computing (AC), and in particular, personal autonomic computing (PAC), an ideal enabling technology. Some generic AC frameworks have been proposed in the literature but without considering the dynamic deployment and re-configuration of pervasive service components in a self-controlled manner. Further, very little attention has been paid to providing autonomic pervasive services in mobile wireless environments. This paper addresses above issues. In particular, a service component self-deployment algorithm using partitioning techniques is proposed and evaluated; a simple service re-configuration algorithm is also presented; and a service self-healing mechanism is proposed. In addition, an AC environment is proposed and its major building blocks being discussed. This AC environment serves as the container of the proposed service component self-deployment, self-configuration and self-healing mechanisms. A prototype of the system has been designed and implemented. Experiment results have shown the effectiveness of the proposed mechanisms.