Self-healing for Autonomic Pervasive Computing

Authors

Shameem Ahmed, Marquette UniversityFollow
Sheikh Iqbal Ahamed, Marquette UniversityFollow
Moushumi Sharmin, Marquette UniversityFollow
Munirul Haque, Marquette UniversityFollow

Document Type

Conference Proceeding

Language

eng

Format of Original

2 p.

Publication Date

2007

Publisher

Association for Computing Machinery

Source Publication

Proceedings of the 2007 ACM Symposium on Applied Computing

Source ISSN

1-59593-480-4

Original Item ID

doi: 10.1145/1244002.1244028

Abstract

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.

Comments

Published as part of the proceedings of the conference, the 2007 ACM Symposium on Applied Computing, 2007: 110-111. DOI.

Recommended Citation

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.
https://epublications.marquette.edu/mscs_fac/345