DOI QR코드

DOI QR Code

Efficient Method to Support Mobile Virtualization-based Cloud Resource Management

모바일 가상화기반 클라우드 자원관리를 지원하는 효율적 방법

  • Kang, Yongho (Dept. of Applied IT and Engineering, Pusan National University) ;
  • Jang, Changbok (Director of Institute, R2SOFT LTD.) ;
  • Lee, Wanjik (Dept. of Applied IT and Engineering, Pusan National University) ;
  • Heo, Seokyeol (Dept. of Applied IT and Engineering, Pusan National University) ;
  • Kim, Jooman (Dept. of Applied IT and Engineering, Pusan National University)
  • Received : 2014.01.02
  • Accepted : 2014.02.20
  • Published : 2014.02.28

Abstract

Recently, various cloud service has been being provided on mobile devices as well as desktop pc and server computer. Also, Smartphone users are very rapidly increasing, and they are using it for enjoying various services(cloud service, game, banking service, mobile office, etc.). So, research to utilize resources on mobile device has been conducted. In this paper, We have suggested efficient method of cloud resource management by using information of available physical resources(CPU, memory, storage, etc.) between mobile devices, and information of physical resource in mobile device. Suggested technology is possible to guarantee real-time process and efficiently manage resources.

최근 다양한 클라우드 서비스가 데스크탑 및 서버 컴퓨터 뿐만 아니라 모바일 장치에 적용되었다. 또한 스마트폰 사용자들이 급속히 증가는 클라우드 서비스, 게임, 은행업무 및 모바일 사무실과 같은 다양한 서비스를 즐기면서 클라우드 환경에서의 IT 자원의 효율적 관리 방안이 요구되었다. 본 논문에서는 모바일 장치들 간에 상호 이용 가능한 물리 장치인 CPU, 메모리 및 저장장치들을 가상화 하고, 가상화 기반의 클라우드 환경에서 물리적 자원의 효율적 사용방법을 제시한다. 제안된 기술은 모바일 단말기의 서비스 활용시에 클라우드 접속을 통한 가상화 기반의 자원 관리가 효율적임을 증명하였고, 또한 처리과정의 실시간성을 보장하였다.

Keywords

References

  1. Changbok Jang, Euiin Choi, "Context Model Based on Ontology in Mobile Cloud Computing", CCIS 199, pp.146-151, 2011
  2. Hongbin Liang, "Resource allocation for security services in mobile cloud computing", INFOCOM WKSHPS, 2011
  3. Guan Le, Ke Xu, Song Meina, Song, Junde, "A Survey of Research on Mobile Cloud Computing", ICIS, 2011
  4. M. Satyanarayanan, "Mobile computing: the next decade," in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond (MCS), June 2010.
  5. M. Satyanarayanan, "Fundamental challenges in mobile computing," in Proceedings of the 5th annual ACM symposium on Principles of distributed computing, pp. 1-7, May 1996.
  6. A Survey of Mobile Cloud Computing : Architecture, Applications, and Approaches, Hoang T. Dinh, Chonho Lee, Dusit Niyato, and Ping Wang
  7. Anton Beloglazov, Rajkumar Buyya, "Energy Efficient Resource Management in Virtualized Cloud Data Centers",CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Pages 826-831
  8. Hongbin Liang,Jiaotong, China,Cai, L.X., Xuemin Shen, "Resource allocation for security services in mobile cloud computing", 2011 Computer Communications Workshops (INFOCOM WKSHPS), 10-15 April 2011, Page 191-195
  9. Kosta, S., Aucinas, A., Pan Hui, Mortier, R. "ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading", 2012 INFOCOM, 25-30 March 2012, Page 945-953
  10. Dornemann, T., Juhnke, E., Freisleben, B., "On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud", Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium, 18-21 May 2009, Page 140-147