Efficient information acquisition and dissemination in pervasive computing systems through caching

Authors:
Mohan Kumar;Sajal K. Das
Affiliations:
The University of Texas at Arlington;The University of Texas at Arlington
Venue:
Wireless communications systems and networks
Year:
2004

Citing 11
Cited 0

Proactive computing

Communications of the ACM
Challenges: an application model for pervasive computing

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Cache invalidation scheme for mobile computing systems with real-time data

ACM SIGMOD Record
A Strategy to Manage Cache Consistency in a Disconnected Distributed Environment

IEEE Transactions on Parallel and Distributed Systems
Piecewise network awareness service for wireless/mobile pervasive computing

Mobile Networks and Applications
On improving the performance of cache invalidation in mobile environments

Mobile Networks and Applications
Supporting the WWW in wireless communications through mobile agents

Mobile Networks and Applications
A Framework for Cache Management for Mobile Databases: Design and Evaluation

Distributed and Parallel Databases
Performance Optimization Problem in Speculative Prefetching

IEEE Transactions on Parallel and Distributed Systems
Investigation of Cache Maintenance Strategies for Multi-cell Environments

MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
PICO: A Middleware Framework for Pervasive Computing

IEEE Pervasive Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Pervasive Computing applications require continual and autonomous availability of 'what I want' type of information acquisition and dissemination in a proactive yet unobtrusive way. Mobility and heterogeneity of pervasive environments make this problem even more challenging. Effective use of middleware techniques, such as caching, can overcome the dynamic nature of communication media and the limitations of resource-poor devices. In pervasive systems data is needed by users, devices, services and applications whereas caching mechanisms developed for mobile and distributed systems cater mainly to devices and in some special cases to users. Pervasive computing environments present entirely new set of challenges because of the fact that data may be acquired and disseminated at various stages within the system. Therefore, novel caching mechanisms are needed that take into account demand-fetched and prefetched (or pulled), as well as broadcast (or pushed) data. In addition, cache maintenance algorithms should consider such features as heterogeneity, mobility, interoperability, proactivity, and transparency that are unique to pervasive environments.