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  • 标题:Enhancing Energy Proficiency in Resource Constrained Devices through Selective Cloud Offload Data Computation
  • 本地全文:下载
  • 作者:Sridhar S K
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:4
  • 页码:8020
  • DOI:10.15680/IJIRCCE.2017.0504079
  • 出版社:S&S Publications
  • 摘要:In this ultra modern era, Mobile technology has become perfervid and a highly intrinsic component ofdaily human lives. Especially the rise of mobile phone advancement from feature phones to Smartphone running ondifferent operating systems such as Android and iOS made life so much easier. Despite the significant evolution andadvancement in mobiles, users raise a high demand for optimal performance of computational intensive applicationsdue to energy constrained nature of mobile computing devices.The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Theexisting system is based on several hardware solutions that put an effort to make every network layer more energyefficient say green network which lead to high time and space complexities. Also lacks precise method to handleservice failures. Therefore, the proposed system mainly focuses on decreasing the working time of mobile devicethrough selective, fault tolerant offload computation decision algorithms in mobile cloud computing, ensuring energyproficient, reliable and optimal system performance.
  • 关键词:Mobile cloud computing; Resource constrained devices; energy proficient; selective decision;algorithms; dynamic task partition.
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