An approximation algorithm for the generalized assignment problem
Mathematical Programming: Series A and B
IEEE Transactions on Software Engineering
Improved approximation schemes for scheduling unrelated parallel machines
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
PARM: Power Aware Reconfigurable Middleware
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Task Allocation for Distributed Multimedia Processing on Wirelessly Networked Handheld Devices
IPDPS '02 Proceedings of the 16th International Symposium on Parallel and Distributed Processing
Integrated power management for video streaming to mobile handheld devices
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Mobile OGSI.NET: Grid Computing on Mobile Devices
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Utility-based scheduling for grid computing under constraints of energy budget and deadline
Computer Standards & Interfaces
Energy constrained resource allocation optimization for mobile grids
Journal of Parallel and Distributed Computing
Controlling energy without compromising system performance in mobile grid environments
Computers and Electrical Engineering
Joint contexts optimization for mobile grid
Computers and Electrical Engineering
An economics-based negotiation scheme among mobile devices in mobile grid
Computer Standards & Interfaces
Context aware service provisioning in mobile grid
Journal of Network and Computer Applications
Tradeoffs between energy consumption and QoS in mobile grid
The Journal of Supercomputing
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Conservation of battery power is one of the main issues in mobile computing. In this paper, we propose to exploit a grid infrastructure to extend the battery life of mobile devices based on the contexts of mobile applications, devices, and grid systems. In doing so, we present a framework, called SGA (selective grid access), to optimally utilize the limited resources of mobile devices and grids. SGA aims to reconfigure the placement of mobile applications on either the mobile device or grid nodes and to adjust QoS level according to the current context of the residual energy and the resource availability of the grids. Simulation-based experiments show that as the number of applications increases, the SGA-based scheme greatly reduces the energy consumption and response time in comparison with the traditional proxy-based approach.