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MARKS (Middleware Adaptability for Resource Discovery, Knowledge Usability and Self-healing) for Mobile Devices of Pervasive Computing Environments
With the tremendous increase in the use of mobile handheld and wearable devices, the pervasive computing arena is becoming stronger and powerful day by day. Despite having various physical constraints, many of the resource-rich functionalities enjoyed by other devices have been incorporated in these...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | With the tremendous increase in the use of mobile handheld and wearable devices, the pervasive computing arena is becoming stronger and powerful day by day. Despite having various physical constraints, many of the resource-rich functionalities enjoyed by other devices have been incorporated in these tiny devices. This is why different fields of research have developed in this area. There are still some unexplored but crucial features like knowledge usability, resource discovery, and self-healing that deserve further attention. Besides exploration of these areas, implementation and evaluation of these features need to be considered from a security and privacy perspective. In this paper, we illustrate the design and implementation of a middleware MARKS, which incorporates these less-explored areas of pervasive computing, to guarantee optimum utilization of the physical capabilities and also to ensure security and privacy |
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DOI: | 10.1109/ITNG.2006.88 |