Dynamic algorithms for autonomic pervasive services in mobile wireless environments

Abstract

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.