A Novel Approach for Reduce Energy Consumption in Mobile Cloud Computing
Author(s) -
Najmeh Moghadasi,
Mostafa GhobaeiArani,
Mahboubeh Shamsi
Publication year - 2015
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2015.11.08
Subject(s) - computer science , cloud computing , mobile device , energy consumption , mobile cloud computing , mobile computing , distributed computing , computer network , operating system , engineering , electrical engineering
In recent years, using mobile devices has a\udspecial place in human life and applicability of these\uddevices leads to increased number of users. Business\udcompanies have integrated them with cloud computing\udtechnology and have provided mobile cloud in order to\udimprove using mobile devices and overcome the energy\udconsumption of mobile devices. In mobile cloud\udcomputing, computations and storages of mobile devices\udapplications are transferred to cloud data centers and\udmobile devices are used merely as user interface to\udaccess services. Therefore, cloud computing will help to\udreduce energy consumption of mobile devices. In this\udpaper, a new approach is given to reduce energy\udconsumption of based on Learning Automata in mobile\udcloud computing. Simulation results show that our\udproposed approach dramatically saves energy\udconsumption through determining the appropriate\udlocation for applicatio
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