Mobile Cloud Computing (MCC) leverages mobile devices and infrastructure equipment to increase services accessibility. It uses increased devices computing capability to enhance services usability and ensure high availability. This growth in performances results in an increased interest for platforms use to accommodate a multitude of applications. To support such an increase in demand, new designs for resource management have to be implemented in order to reach usage optimality. In this work, we propose to design new algorithms to optimize MCC resources management techniques based on stochastic networks optimization. Our approach is focused on energy consumption optimization on the cloud data center side while ensuring resources elasticity to adapt to users' demands and insure a highly available platform. We elected an overclocking technique to enhance servers' capabilities and Lyapunov improvisation to ensure design stability and to minimize the energy cost. We perform extensive simulations under different charge conditions in order to prove the design effectiveness in ensuring the service with lower power consumption. Simulations results confirm the effectiveness of the proposed resources management design.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reducing Energy Consumption for Reconfiguration in Cloud Data Centers


    Contributors:


    Publication date :

    2016-09-01


    Size :

    501082 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A hybrid algorithm to reduce energy consumption management in cloud data centers

    Tarahomi, Mehran / Izadi, Mohammad | BASE | 2019

    Free access

    AN APPROACH TO REDUCE ENERGY CONSUMPTION IN CLOUD DATA CENTERS USING HARMONY SEARCH ALGORITHM

    Masoumeh Najafi1 and Keyvan MohebbiCorresponding Author, 1, 2 | BASE | 2018

    Free access


    Method for reducing energy consumption of elevator

    LI XINLONG / ZHOU CHUNMING / WU JICHAO et al. | European Patent Office | 2024

    Free access