Fundamental challenges in mobile computing
PODC '96 Proceedings of the fifteenth annual ACM symposium on Principles of distributed computing
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
A Distributed Search Service for Peer-to-Peer File Sharing in Mobile Applications
P2P '02 Proceedings of the Second International Conference on Peer-to-Peer Computing
2Fast: Collaborative Downloads in P2P Networks
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
Smart Phone and Next Generation Mobile Computing (Morgan Kaufmann Series in Networking (Paperback))
Smart Phone and Next Generation Mobile Computing (Morgan Kaufmann Series in Networking (Paperback))
CarWeb: A Traffic Data Collection Platform
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Ibis for mobility: solving challenges of mobile computing using grid techniques
Proceedings of the 10th workshop on Mobile Computing Systems and Applications
The Case for VM-Based Cloudlets in Mobile Computing
IEEE Pervasive Computing
Energy Efficient Task Allocation over Mobile Networks
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
Monitoring and status representation of devices in wireless grids
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
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Mobile cloud computing enables the users to improve productivity, share data and collaborate with the other mobile users. Mobile users are able to share resources and applications without a high level capital expenditure on hardware and software resources. Though this new phenomenon is welcomed, people are sceptical about its effectiveness in the real world. Mobile resources if utilised properly will be a boon as it may pave way for their ubiquitous access. Energy efficient infrastructure is very much needed in mobile cloud as energy is the main limitation for mobile users. In this paper an energy conservative mobile cloud infrastructure is proposed. Mobile nodes are classified on the helper factor algorithm, which is based on battery consumption, memory storage, network bandwidth and time delay. Mobile node's ability to contribute its resource to other mobile nodes in its circle is determined. The concept of peer data sharing among mobile devices to enable reusability of data in its own circle is also proposed. Local server cache has been implemented effectively to retrieve the recently used files quickly.