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  • 标题:Mobile cloud computing for computation offloading: Issues and challenges
  • 本地全文:下载
  • 作者:Khadija Akherfi ; Micheal Gerndt ; Hamid Harroud
  • 期刊名称:Applied Computing and Informatics
  • 印刷版ISSN:2210-8327
  • 电子版ISSN:2210-8327
  • 出版年度:2018
  • 卷号:14
  • 期号:1
  • 页码:1-16
  • DOI:10.1016/j.aci.2016.11.002
  • 出版社:Elsevier
  • 摘要:

    Despite the evolution and enhancements that mobile devices have experienced, they are still considered as limited computing devices. Today, users become more demanding and expect to execute computational intensive applications on their smartphone devices. Therefore, Mobile Cloud Computing (MCC) integrates mobile computing and Cloud Computing (CC) in order to extend capabilities of mobile devices using offloading techniques. Computation offloading tackles limitations of Smart Mobile Devices (SMDs) such as limited battery lifetime, limited processing capabilities, and limited storage capacity by offloading the execution and workload to other rich systems with better performance and resources. This paper presents the current offloading frameworks, computation offloading techniques, and analyzes them along with their main critical issues. In addition, it explores different important parameters based on which the frameworks are implemented such as offloading method and level of partitioning. Finally, it summarizes the issues in offloading frameworks in the MCC domain that requires further research.

  • 关键词:Cloud computing ; Mobile cloud computing ; Computational offloading ; Algorithms ; Partitioning
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