Date of Award

Summer 2006

Degree Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Mathematics, Statistics and Computer Science

First Advisor

Ahamed, Sheikh I.

Second Advisor

Harris, Douglas

Third Advisor

Madiraju, Praveen

Abstract

To ensure smooth functioning of numerous handheld devices anywhere anytime, the importance of a self-healing mechanism cannot be overlooked. This is one of the main challenges to growing autonomic pervasive computing. Incorporation of efficient fault detection and recovery in the device itself is the ultimate quest but there is no existing self-healing scheme for devices running in autonomic pervasive computing environments that can be claimed as the ultimate solution. Moreover, the highest degree of transparency, security and privacy should also be maintained. In this thesis, an approach to develop a self-healing service for autonomic pervasive computing is presented. The self-healing service has been developed and integrated into the middleware named MARKS+ (Middleware Adaptability for Resource discovery, Knowledge usability, and Self-healing). The self-healing approach has been evaluated on a test bed of PDAs. An application has been developed by using the service. The evaluation results are also presented in this thesis.

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