Proceedings ArticleDOI
Extending the lifetime of a network of battery-powered mobile devices by remote processing: a Markovian decision-based approach
Peng Rong,Massoud Pedram +1 more
- pp 906-911
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TLDR
An on-line adaptive policy is proposed, which dynamically monitors the channel conditions and the server behavior and adopts a client-side power management policy with task migration that results in optimum energy consumption in the client.Abstract:
This paper addresses the problem of extending the lifetime of a battery-powered mobile host in a client-server wireless network by using task migration and remote processing. This problem is solved by first constructing a stochastic model of the client-server system based on the theory of continuous-time Markovian decision processes. Next the dynamic power management problem with task migration is formulated as a policy optimization problem and solved exactly by using a linear programming approach. Based on the off-line optimal policy derived in this way, an on-line adaptive policy is proposed, which dynamically monitors the channel conditions and the server behavior and adopts a client-side power management policy with task migration that results in optimum energy consumption in the client. Experimental results demonstrate that the proposed method outperforms existing heuristic methods by as much as 35% in terms of the overall energy savings.read more
Citations
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Power management in energy harvesting sensor networks
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A Survey of Computation Offloading for Mobile Systems
TL;DR: An overview of the background, techniques, systems, and research areas for offloading computation is provided, and directions for future research are described.
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Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel
TL;DR: A theoretical framework of energy-optimal mobile cloud computing under stochastic wireless channel is provided, and numerical results suggest that a significant amount of energy can be saved for the mobile device by optimally offloading mobile applications to the cloud in some cases.
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A Dynamic Offloading Algorithm for Mobile Computing
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Performance Aware Tasking for Environmentally Powered Sensor Networks
TL;DR: A harvesting theory for determining performance in energy harvesting systems and a localized algorithm for increasing the performance of a distributed system by adapting the process scheduling to the spatio-temporal characteristics of the environmental energy in the distributed system.
References
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