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    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)
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    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Dynamic power management by reinforcement learning

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    12121111 & 11321059_EEE.pdf (721.0Kb)
    Date
    2016
    Publisher
    BRAC University
    Author
    Hossain, Safayet
    Ibn-Ismail, Muhammad Adnan
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/6434
    Abstract
    Optimization in design and utilization of both hardware and software is needed in order to achieve more energy efficient systems. In this paper we presented a Reinforcement learning based DPM approaches for our LAN card power management system. The presented approaches do not require priori model of the system as an Opposite to the existing DPM approaches. Thesis outcomes also show that sleeping is indeed feasible in the LAN and in some cases, with very little impact on other protocols. Moreover, reinforcement learning is a machine intelligence approach that has been applied in many different areas whereas Qlearning is one of the most popular algorithms that perform reinforcement learning. At last, with the desired outcomes of this thesis work, power management issues of LAN card system were solved effectively. In future we aim to compare DPM problem with mission learning problem. The RL based learning algorithm can then be implemented to find the right value of power constraint.
    Keywords
    Power management; Reinforcement learning
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 57-60).
    Department
    Department of Electrical and Electronic Engineering, BRAC University
    Collections
    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)

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