A framework for resource discovery in pervasive computing for mobile aware task execution

Kalapriya, K and Nandy, SK and Srinivasan, Deepti and Maheshwari, Uma R and Satish, V (2004) A framework for resource discovery in pervasive computing for mobile aware task execution. In: Proceedings of the 1st Conference on Computing frontiers, 14–16, April 2004, Ischia, Italy., pp. 70-77.

PDF p70-kalapriya.pdf Restricted to Registered users only Download (134kB) | Request a copy

Abstract

Aimed to provide computation ubiquitously, pervasive computing is perceived as a means to provide a user the transparency of anywhere, anyplace, anytime computing. Pervasive computing is characterized by execution of high-level user tasks in heterogeneous environments that use invisible and ubiquitously distributed computational devices. Resource discovery is an integral part of pervasive computing. Due to the limited computing capacities of the mobile entities in the pervasive space it becomes important for these entities to discover equivalent peers to execute complex tasks. Also requirements of tasks in pervasive space are diverse ranging from static resources like printers to dynamically varying resources like network bandwidth. This requires seamless aggregation of resources/services required for the execution of the task. This is further complicated by frequent associations and disassociation of mobile elements with hotspots which are highly variable in performance and availability. We believe that predicting variability of resources would make the task mobile aware rather than mobility oblivious. We propose a framework for estimation of future resource requirements, which would allow the mobile applications to adapt to wearing (due to disassociations and reassociations) of resources. We also show through case analysis that proactive systems benefit from our architecture.

Item Type:	Conference Paper
Publisher:	ACM
Additional Information:	The copyright of this article belongs to the ACM.
Keywords:	Pervasive Computing; Framework for Resource Discovery
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	13 Feb 2008
Last Modified:	19 Sep 2010 04:42
URI:	http://eprints.iisc.ac.in/id/eprint/13030

Actions (login required)

View Item