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    Optimal Resource Control of Multi-Processor Multi- Radio Nodes using semi-Markov Decision Processes

    Tahir, Muhammad and Farrell, Ronan (2010) Optimal Resource Control of Multi-Processor Multi- Radio Nodes using semi-Markov Decision Processes. In: IEEE International Conference on Communications (ICC 2010), 23rd-27th May 2010, Cape Town, South Africa.

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    An optimal resource control mechanism for a multiprocessor, multi-radio node architecture is proposed. To achieve our objective, a constrained semi-Markov decision problem is formulated, which not only provides optimal resource control but also meets quality of service demands imposed by application. For each sensed event, the desired energy efficiency and performance tradeoff is achieved by the optimal stochastic policy, which selects an appropriate set of processors and radios. The proposed solution is assessed using the reported energy consumption measurements for the existing platforms. Performance evaluation results point towards the importance of proper pairing of processor and radio in achieving the energy efficiency and performance tradeoff. The proposed solution can also be employed for hand held devices equipped with multiple processors and radios.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Optimal Resource Control; Multi-Processor Multi- Radio Nodes; semi-Markov Decision Processes;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 3656
    Depositing User: Ronan Farrell
    Date Deposited: 09 May 2012 13:40
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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