KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
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Methods for Stabilizing QoS in Mobile Cloud Computing

모바일 클라우드 컴퓨팅을 위한 QoS 안정화 기법

  • 라현정 (숭실대학교 모바일 서비스 소프트웨어공학 센터) ;
  • 김수동 (숭실대학교 컴퓨터학부)
  • Received : 2012.12.24
  • Accepted : 2013.05.17
  • Published : 2013.08.31
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Abstract

Mobile devices have limited computing power and resources. Since mobile devices are equipped with rich network connectivity, an approach to subscribe cloud services can effectively remedy the problem, which is called Mobile Cloud Computing (MCC). Most works on MCC depend on a method to offload functional components at runtime. However, these works only consider the limited verion of offloading to a pre-defined, designated node. Moveover, there is the limitation of managing services subscribed by applications. To provide a comprehensive and practical solution for MCC, in this paper, we propose a self-stabilizing process and its management-related methods. The proposed process is based on an autonomic computing paradigm and works with diverse quality remedy actions such as migration or replicating services. And, we devise a pratical offloading mechanism which is still in an initial stage of the study. The proposed offloading mechanism is based on our proposed MCC meta-model. By adopting the self-stabilization process for MCC, many of the technical issues are effectively resolved, and mobile cloud environments can maintain consistent levels of quality in autonomous manner.

모바일 디바이스는 크기가 작기 때문에 PC에 비해 컴퓨팅 자원이 부족하여, 높은 복잡도를 가진 애플리케이션을 설치 및 운영하기 어렵다. 그러나, 모바일 디바이스는 풍부한 네트워크 연결 능력이 있어 외부 자원을 사용하기가 용이하므로, 모바일 클라우드 컴퓨팅 (Mobile Cloud Computing, MCC) 연구가 활발히 진행되고 있다. MCC에서는 주로 기능 컴포넌트를 다른 노드로 오프로딩 (Offloading) 시킴으로써, 모바일 노드의 자원 문제를 해결하는 접근법을 적용한다. 그러나, 현재 진행되고 있는 MCC에 대한 연구는 사전에 결정된 노드로 오프로딩하는 연구만 위주로 진행되고 있으며, 모바일 디바이스가 구독하는 서비스 문제를 해결할 수 없는 한계점이 있다. 본 논문에서는 자율 안정화할 수 있는 MCC를 구현하기 위한 실용적인 프로세스와 품질 안정화 기법을 제안한다. 먼저, 효과적으로 품질을 관리하기 위한 MCC 메타모델을 제시하고, 이를 기반으로 8개의 활동으로 구성된 품질 관리 프로세스를 제안하며, 핵심 활동에 대한 상세 기법을 정의한다. 그리고, 실용적 수준으로 연구가 많이 진행되지 않은 오프로딩 기법을 MCC 메타모델에 제시된 여러 요소들과 상호작용하여 QoS 문제를 효과적으로 해결할 수 있도록 설계한다. 마지막으로 실험을 통해 품질 자율 관리 프로세스의 적절성을 증명한다. MCC의 품질 자율 안정 관리 프로세스와 품질 향상 기법들을 채택함으로써, 클라우드 서비스를 구독하는 모바일 애플리케이션의 품질을 관리하는데 여러 기술적 이슈를 효과적으로 해결할 수 있다. 그리고, MCC에 속한 여러 애플리케이션과 서비스들은 관리자의 개입없이 자율적으로 일정 수준의 품질을 유지할 수 있게 된다.

Keywords

References

  1. B. Konig-Ries and F. Jena, "Challenges in Mobile Application Development," it-Information Technology, Vol.52, No.2, pp. 69-71, 2009.
  2. G.H. Forman and J. Zahorjan, "The Challenges of Mobile Computing," Computer, Vol.27, No.4, pp.38-47, 1994.
  3. M. Fernando, S.W. Loke, and W. Rahayu, "Mobile Cloud Computing: A Survey," Future Generation Computer Systems, Vol.29, pp.84-106, 2013. https://doi.org/10.1016/j.future.2012.05.023
  4. L. Guan, X. Ke, M. Song, and J. Song, "A Survey of Research on Mobile Cloud Computing," Proc. 2011 10th IEEE/ACIS International Conf. on Computer and Information Science (ICIS 2011), pp.387-392, Dec., 2011.
  5. Y. Natchetoi, V. Kaufman, A. Shapiro, "Service-Oriented Architecture for Mobile Applications," Proc. 1st Int'l Workshop on Software architectures and mobility (SAM 2008), pp.27-32, 2008.
  6. B.G. Chun and P. Maniatis, "Dynamically Partitioning Applications between Weak Devices and Clouds," Proc. the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond (MCS 2010), Article No.7, 2010.
  7. B.G. Chun, S.H. Ihm, P. Maniatis, M. Naik, and A. Patti, "CloneCloud: Elastic Execution between Mobile Device and Cloud," Proc. 6th European Conf. on Computer Systems (EuroSys 2011), pp.301-314, 2011.
  8. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davis, "The Case for VM-Based Cloudlets in Mobile Computing," IEEE Pervasive Computing, Vol.8, No.4, pp.14-23, Oct., 2009.
  9. E.Cuervo, A. Balasubramanian, D.K. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl, "MAUI: Making Smarphones Last Longer with Code Offloaded," Proc. 8th Annual Int'l Conf. Mobile Systems, Applications, and Services (Mobisys 2010), pp.49-62, 2010.
  10. S. Malek, G. Edwards, Y. Brun, H. Tajalli, J. Garcia, I. Krka, N. Medvidovic, M. Mikic-Rakic, and G.S. Sukhatme, "An Architecture-driven Software Mobility Framework," The Journal of Systems and Software, Vol.83, pp.972-989, 2010. https://doi.org/10.1016/j.jss.2009.11.003
  11. S. Han, S. Zhang, Y. Zhaing, and C. Fan, "An Adaptable Software Architecture based on Mobile Components in Pervasive Computing," Proc. the 6th International Conf. on Parallel and Distributed Computing, Applications, and Techniques (PDCAT 2005), pp.309-311, 2005.
  12. X. Li, H. Zhang, and Y. Zhang, "Deploying Mobile Computation in Cloud Service," Proc. 1st Int'l Conf. on Cloud Computing (CloudCom 2009), Lecture Notes in Computer Science (LNCS) 5931, pp.301-311, 2009.
  13. K. Yang, S. Ou, and H.H. Chen, "On Effective Offloading Services for Resource-Constrained Mobile Devices Running Heavier Mobile Internet Applications," IEEE Communications Magazine, Vol.46, No.1, pp.56-63, 2008.
  14. Y. Ye, N. Jain, L. Xia, S. Joshi, I. Yen, F. Bastani, K.L. Cureton, and M.K. Bowler, "A Framework for QoS and Power Management in a Service Cloud environment with Mobile Devices," Proc. the 5th IEEE Int'l Symposium on Service Oriented System Engineering (SOSE 2010), pp. 236-343, 2010.
  15. S.H. Hung, C.S. Shih, J.P. Shieh, C.P. Lee, and Y.H. Huang, "Executing Mobile Applications on the Cloud: Framework and Issues," Computers and Mathematics with Applications, Vol.63, No.2, pp.573-587, Jan., 2012. https://doi.org/10.1016/j.camwa.2011.10.044
  16. J. Flinn, S. Park, and M. Satyanarayanan, "Balancing Performance, Energy, and Quality in Pervasive Computing," Proc. 22nd Int'l Conf. Distributed Computing Systems (ICDCS 2002), pp.217-226, 2002.
  17. P.K. Balan, D. Gergle, M. Satyanarayanan, and J. Herbsleb, "Simplifying Cyber Foraging for Mobile Devices," Proc. 5th USENIX Int'l Conf. Mobile Systems, Applications, and Services (MobiSys 2007), pp.272-285, 2007.
  18. S. Kalasapur and M. Kumar, "Scavenger: Transparent Development of Efficient Cyber Foraging Applications," Proc. IEEE Int'l Conf. Pervasive Computing and Communications (PerCom 2010), pp.217-226, 2010.
  19. M. Sharifi, S. Kafaie, and O. Kashefi, "A Survey and Taxonomy of Cyber Foraging of Mobile Devices," IEEE Communications Surveys & Tutorials, preprint, 17 Nov., 2007.
  20. F. Gillett, "Future View: The New tech Ecosystems of Cloud, Cloud Services, And Cloud Computing," Technical Report, Forrester Research, August, 2008.
  21. Harrington, P., Machine Learning in Action, Manning Publication, 2012.
  22. Witten, I.H., Frank, E., and Hall, M.A., Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, Morgan Kaufmann, 2011.
  23. H. Ludwig, A. Keller, A. Dan, R.P. King, and R. Franck, Web Service Level Agreement (WSLA) Language Specification, Version 1.0, IBM Corporation, January, 2003.
  24. Cormen, T.H., Leiserson, C.E., Rivest, R.L., and Stein C., Introduction to Algorithms, Third Edition, The MIT Press, 2009.
  25. Lee, J.Y., La, H.J., and Kim, S.D., "A Practical Framework for Self-Stabilization in Service-based Mobile Ecosystem," Journal of Information Science and Engineering, Institute of Information Science (To Appear).
  26. Lee, J.Y. and Kim, S.D., "Software Approaches to Assuring High Scalability in Cloud Computing," In Proceedings of the 7th IEEE International Conference on e-Business Engineering (ICEBE 2010), pp.300-306, 2010.
  27. E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design patterns: elements of reusable object-oriented software, Addison-Wesley, 1995.
  28. K. Kumar and Y.H. Lu, "Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?," IEEE Computer, Vol.43, No.4, pp.51-56, 2010.