Date of Award
Summer 2006
Document 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.
Recommended Citation
Ahmed, Shameem, "Self-Healing for Autonomic Pervasive Computing" (2006). Master's Theses (1922-2009) Access restricted to Marquette Campus. 2131.
https://epublications.marquette.edu/theses/2131