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Mobile cloud computing for computation offloading: Issues and challenges

Akherfi, Khadija ; Gerndt, Micheal ; Harroud, Hamid

Applied computing & informatics, 2018-01, Vol.14 (1), p.1-16 [Periódico revisado por pares]

Elsevier B.V

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  • Título:
    Mobile cloud computing for computation offloading: Issues and challenges
  • Autor: Akherfi, Khadija ; Gerndt, Micheal ; Harroud, Hamid
  • Assuntos: Algorithms ; Cloud computing ; Computational offloading ; Computer Science ; Distributed, Parallel, and Cluster Computing ; Mobile cloud computing ; Partitioning
  • É parte de: Applied computing & informatics, 2018-01, Vol.14 (1), p.1-16
  • Descrição: 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.
  • Editor: Elsevier B.V
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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