산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제38권2호
  • /
  • Pages.91-100
  • /
  • 2015
  • /
  • 2005-0461(pISSN)
  • /
  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
권호 표지
DOI QR코드

DOI QR Code

IaaS 클라우드 서비스 수락제어를 위한 효율적인 2단계 휴리스틱 정책

An Efficient Two-Phase Heuristic Policy for Acceptance Control in IaaS Cloud Service

  • 투고 : 2015.04.14
  • 심사 : 2015.05.08
  • 발행 : 2015.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, we propose an efficient two-phase heuristic policy, called an acceptance tolerance control policy, for Infrastructure as a Service (IaaS) cloud services that considers both the service provider and customer in terms of profit and satisfaction, respectively. Each time an IaaS cloud service is requested, this policy determines whether the service is accepted or rejected by calculating the potential for realizing the two performance objectives. Moreover, it uses acceptance tolerance to identify the possibility for error with the chosen decision while compensating for both future fluctuations in customer demand and error possibilities based on past decisions. We conducted a numerical experiment to verify the performance of the proposed policy using several actual IaaS cloud service specifications and comparing it with other heuristics.

키워드

참고문헌

  1. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., and Brandic, I., Cloud computing and emerging IT platforms : Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 2009, Vol. 25, No. 6, pp. 599-616. https://doi.org/10.1016/j.future.2008.12.001
  2. Rodero-Merino, L., Vaquero, L.M., Galan, V.G.F., Fontan, J., Montero, R.S., and Llorente, I.M., From infrastructure delivery to service management in Clouds. Future Generation Computer Systems, 2010, Vol. 26, No. 8, pp. 1226-1240. https://doi.org/10.1016/j.future.2010.02.013
  3. Huckman, R.S., Pisano, G.P., and Kind, L., Amazon web service. Harvard Business School Case (609-048), 2008.
  4. IBMSmartCloud, Accessed March 2014 http://www-935.ibm.com/services/us/en/cloud-enterprise/index.html.
  5. WindowsAzure, Accessed March 2014, http://www.windowsazure.com/en-us.
  6. Voorsluys, W., Broberg, J., and Buyya, R. Introduction to Cloud Computing, John Wiley and Sons, Inc, 2011.
  7. mozy, Accessed March 2014, http://mozy.com/.
  8. Yoon, C.H., Technical trends in managing cloud computing resources, Grid Middleware Research Center KAIST, 2011, pp. 9-11.
  9. Wu, L., Gang, S.K., and Buyya, R., SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments. Journal of Computer and System Sciences, 2012, Vol. 78, No. 5, pp. 1280-1299. https://doi.org/10.1016/j.jcss.2011.12.014
  10. Um, T.W., Lee, H., Woo, R., and Choi, J.K., Dynamic resource allocation and scheduling for cloud-based virtual content delivery networks. ETRI Journal, April 2014, Vol. 36, No. 2, pp. 197-205. https://doi.org/10.4218/etrij.14.2113.0085
  11. Jula, A., Sundararajan, E., and Othman, Z., Cloud computing service composition : A systematic literature review. Expert Systems with Applications, 2014, Vol. 41, pp. 3809-3824. https://doi.org/10.1016/j.eswa.2013.12.017
  12. Anandasivam, A., Consumer Preferences and Bid-Price Control for Cloud Services, doctoral dissertation, Institute for Information Systems and Management, University of Karlsruhe, 2010, pp. 96-100.
  13. Puschel, T., Lang, F., Bodenstein, C., and Neumann, D., A Service Request Acceptance Model for Revenue Optimization-Evaluating Policies Using a Web Based Resource Management Game. 43rd Hawaii International Conference on System Science, 2010.
  14. Moakar, L.A., Chrysanthis, P.K., Chung, C., Guirguis, S., Labrinidis, A., Neophyton, P., and Pruhs, K., Admission Control Mechanisms for Continuous Queries in the Cloud. 26th IEEE International Conference on Data Engineering, 2010.
  15. Toosi, A.N., Calheiros, R.N., Thulasiram, R.K., and Buyya, R., Resource Provisioining Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment. IEEE International Conference on High Performance Computing and Communications, 2011.
  16. Gogrid, Accessed March 2014, http://www.gogrid.com/.
  17. Anandasivam, A., Buschek, S., and Buyya, R., A Heuristic Approach for Capacity Control in Clouds. IEEE Conference on Commerce and Enterprise Computing, 2009.

피인용 문헌

  1. An Efficient VM-Level Scaling Scheme in an IaaS Cloud Computing System: A Queueing Theory Approach vol.13, pp.2, 2015, https://doi.org/10.5392/ijoc.2017.13.2.029