Self-healing for Autonomic Pervasive Computing
Format of Original
Association for Computing Machinery
Proceedings of the 2007 ACM Symposium on Applied Computing
Original Item ID
Self-healing is one of the main challenges to growing autonomic pervasive computing. Fault detection and recovery are the main steps of self-healing. Due to the characteristics of pervasive computing the self-healing becomes difficult. In this paper, the challenges of self-healing have been addressed and 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 is being evaluated on a test bed of PDAs. An application is being developed by using the proposed service.
Ahmed, Shameem; Ahamed, Sheikh Iqbal; Sharmin, Moushumi; and Haque, Munirul, "Self-healing for Autonomic Pervasive Computing" (2007). Mathematics, Statistics and Computer Science Faculty Research and Publications. 345.
Published as part of the proceedings of the conference, the 2007 ACM Symposium on Applied Computing, 2007: 110-111. DOI.