MR-CloudSim

Designing and implementing MapReduce computing model on CloudSim

Jongtack Jung, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

Nowadays, we can hear the word 'cloud' everywhere. Cloud web storage, cloud-based web applications, and cloud networks, they all indicate that cloud has become more important than it has ever been. Internet service providers (ISP) and internet contents providers (ICP) are providing more and more services with cloud computing, and also in mobile computing environments, a cloud service is drawing much attention from the community. The biggest advantage of cloud computing is clear. As far as the user is connected to the cloud, (s)he can have all the extra computing power and storage no matter what his device is. However, empirical validation of various research projects on a cloud system seems to be ineffective in both cost and time since it requires involving to a huge amount of computing facilities and resources. Even with its importance as commerce and inconvenience of researching, there are not many simulators that can provide a simulation environment for cloud computing and datacenters. Thus, we propose a simulation tool that supports the MapReduce model, the most widely used programming model for big data processing, implemented on CloudSim, an open source simulator for cloud computing and datacenters.

Original languageEnglish
Title of host publicationInternational Conference on ICT Convergence
Pages504-509
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012 - Jeju Island, Korea, Republic of
Duration: 2012 Oct 152012 Oct 17

Other

Other2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012
CountryKorea, Republic of
CityJeju Island
Period12/10/1512/10/17

Fingerprint

Cloud computing
Simulators
Internet service providers
Mobile computing
Internet
Costs

Keywords

  • Cloud Computing
  • MapReduce
  • Performance Evaluation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Jung, J., & Kim, H. (2012). MR-CloudSim: Designing and implementing MapReduce computing model on CloudSim. In International Conference on ICT Convergence (pp. 504-509). [6387186] https://doi.org/10.1109/ICTC.2012.6387186

MR-CloudSim : Designing and implementing MapReduce computing model on CloudSim. / Jung, Jongtack; Kim, Hwangnam.

International Conference on ICT Convergence. 2012. p. 504-509 6387186.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jung, J & Kim, H 2012, MR-CloudSim: Designing and implementing MapReduce computing model on CloudSim. in International Conference on ICT Convergence., 6387186, pp. 504-509, 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012, Jeju Island, Korea, Republic of, 12/10/15. https://doi.org/10.1109/ICTC.2012.6387186
Jung J, Kim H. MR-CloudSim: Designing and implementing MapReduce computing model on CloudSim. In International Conference on ICT Convergence. 2012. p. 504-509. 6387186 https://doi.org/10.1109/ICTC.2012.6387186
Jung, Jongtack ; Kim, Hwangnam. / MR-CloudSim : Designing and implementing MapReduce computing model on CloudSim. International Conference on ICT Convergence. 2012. pp. 504-509
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