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 language | English |
|---|---|
| Title of host publication | International Conference on ICT Convergence |
| Pages | 504-509 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 Dec 1 |
| Event | 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012 - Jeju Island, Korea, Republic of Duration: 2012 Oct 15 → 2012 Oct 17 |
Other
| Other | 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 12/10/15 → 12/10/17 |
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Keywords
- Cloud Computing
- MapReduce
- Performance Evaluation
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - MR-CloudSim
T2 - Designing and implementing MapReduce computing model on CloudSim
AU - Jung, Jongtack
AU - Kim, Hwangnam
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Cloud Computing
KW - MapReduce
KW - Performance Evaluation
UR - http://www.scopus.com/inward/record.url?scp=84872413163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872413163&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2012.6387186
DO - 10.1109/ICTC.2012.6387186
M3 - Conference contribution
AN - SCOPUS:84872413163
SN - 9781467348287
SP - 504
EP - 509
BT - International Conference on ICT Convergence
ER -