Mobile OGSI.NET: Grid Computing on Mobile Devices
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Pervasive Wireless Grid Architecture
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
A Grid Service Infrastructure for Mobile Devices
SKG '05 Proceedings of the First International Conference on Semantics, Knowledge and Grid
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 04
WETICE '07 Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
IMOGA: An Architecture for Integrating Mobile Devices into Grid Applications
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
Mobile ad hoc grid using trace based mobility model
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Reliable resources brokering scheme in wireless grids based on non-cooperative bargaining game
Journal of Network and Computer Applications
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In a mobile grid, energy resources distribution and computation workloads are not balanced within mobile devices. Some mobile devices have spare energy; some mobile devices are energy exhausted. In this paper, we present a market-based mechanism for efficient integration of mobile devices into mobile grids to optimise the system performance. All mobile devices in a mobile grid can be classified into different roles, such as buyers (consumers) and sellers (providers). Using market-based cooperation among devices, an energy saving scheme is proposed for a mobile grid. The paper is targeted to solve energy allocation of mobile devices by using the utility-based scheme. The system utility of a mobile grid is maximised when the equilibrium prices are obtained through the device market optimisation. A market-based algorithm for integration of mobile devices into a mobile grid is proposed. In order to test the performance of the algorithm, simulation is conducted by comparing with other power-aware scheduling in mobile grids.