Entropy-Based Grouping Techniques for Resource Management in Mobile Cloud Computing

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 214)

Abstract

Recently, research on utilizing mobile devices as resources in mobile cloud environments has been gaining attention because of the enhanced computing power of mobile devices, with the advent of quad-core chips. Such research is also motivated by the advance of communication networks as well as the growing population of users of smart phones, tablet PCs, and other mobile devices. This trend has led researchers to investigate the utilization of mobile devices in cloud computing. However, mobile devices have several problems such as characteristics of the mobility, low memory, low battery, and low communication bandwidth. Especially, the mobility of mobile device causes system faults more frequently, and system faults prevent application using mobile devices from being processed reliably. Therefore, groups are classified according to the availability and mobility to manage reliable resource. In this paper, we make groups of mobile devices by measuring the behavior of mobile devices and calculating the entropy.

Keywords

Mobile cloud computing Grouping Entropy Mobility Availability 

Notes

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(20120003823).

References

  1. 1.
    Ghosh, P., Roy, N., Das, S.K.: Mobility-aware efficient job scheduling in mobile grids. In: Proceedings of Cluster Computing and Grid, CCGRID’07, Rio De Janeiro, pp 701–706 (2007)Google Scholar
  2. 2.
    Lee, J.H., Choi, S.J., Suh, T, Yu, H.C.: Mobility-aware balanced scheduling algorithm in mobile grid based on mobile agent, The knowledge engineering review (2011)Google Scholar
  3. 3.
    Choi, S.J., Buyya, R.: Group-based adaptive result certification mechanism in desktop grids. J. Future Gener. Comput.Syst. 26(5), 776–786 (2010)CrossRefGoogle Scholar
  4. 4.
    Jeon, W.S., Jeong, D.G.: Design of a paging scheme based on user mobility classes for advanced cellular mobile networks. J. Korean Inst. Inf. Scientists and Eng. 29(3), (2002) Google Scholar
  5. 5.
    Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. 7 J. 379–423 (1948)Google Scholar
  6. 6.
    Henderson, T., Kotz, D., Abyzov I.: The changing usage of a mature campus-wide wireless network, MOBICOM’04. ACM Press, USA (2004)Google Scholar
  7. 7.
    Kotz, D., Essien, K.: Analysis is a campus-wide wireless network, MOBICOM’02. Department of Computer Science, NH 11, 115–133 (2002)Google Scholar
  8. 8.
    Schwab, D., Bunt, R.: Characterizing the use of a campus wireless network, INFOCOM 2004. Department of Computer Science, Saskatchewan University, Saskatoon (2004)Google Scholar
  9. 9.
    Choi, S., Cho, I., Chung, K., Song, B., Yu, H.: Group-based resource selection algorithm supporting fault-tolerance in mobile grid, international conference on semantics, knowledge and grid (SKG2007), pp 426–429 (2007)Google Scholar
  10. 10.
    Song, S., Yu, H.: Job scheduling method considering the using pattern of the mobile device in mobile grid. J. Korea Assoc. Comput. Educ. 11(3), (2008) Google Scholar
  11. 11.
    Park, J., Yu, H., Lee, E.: Markov chain based monitoring service for fault tolerance in mobile cloud computing. IEEE international conference on advanced information networking and applications, Mar 2011Google Scholar
  12. 12.
    Park, J., Yu, H., Lee, E.: Resource allocation techniques based on availability and movement reliability for mobile cloud computing, international conference on distributed computing and internet technology, LNCS 7154, Springer, Berlin, Feb 2012Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Computer Science EducationKorea UniversitySeoulSouth Korea
  2. 2.Department of Computer ScienceDongduk Women’s UniversitySeoulSouth Korea

Personalised recommendations