Mobile Networks and Applications

, Volume 20, Issue 3, pp 328–336 | Cite as

Cost Adaptive VM Management for Scientific Workflow Application in Mobile Cloud

  • Woo-Joong Kim
  • Dong-Ki Kang
  • Seong-Hwan Kim
  • Chan-Hyun Youn


In this paper, to guarantee Service Level Agreement composed of the deadline and budget given by users for workflow application services in mobile cloud, we propose the two-phases algorithm with a cost adaptive VM management. Firstly, the greedy based workflow co-scheduling phase schedules a workflow by using a resource consolidation in a parallel manner to decrease a cost with the deadline assurance. Secondly, the resource profiling based placement phase locates a VM to a certain physical host in the multi-cloud using the profile on the property of clouds in order to comply with the budget while maximizing the service quality. We implement mobile cloud brokering system with the two-phases algorithm and demonstrate that our proposed system outperforms traditional cloud systems through several experimental results.


Mobile cloud computing Mobile cloud brokering system Cost adaptive resource management 



This research was supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2012-0020522) and the MSIP (Ministry of Science, ICT & Future Planning), Korea in the ICT R &D Program 2014 and the MSIP under the ITRC support program (NIPA-2014(H0301-14-1020)) supervised by the NIPA.


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Woo-Joong Kim
    • 1
  • Dong-Ki Kang
    • 1
  • Seong-Hwan Kim
    • 1
  • Chan-Hyun Youn
    • 1
  1. 1.Department of Electrical Engineering, Korea Advanced Institute of Science and TechnologyDaejeonKorea

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