TY - GEN
T1 - MR-CloudSim
T2 - 2012 International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", ICTC 2012
AU - Jung, Jongtack
AU - Kim, Hwangnam
PY - 2012
Y1 - 2012
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
T3 - International Conference on ICT Convergence
SP - 504
EP - 509
BT - 2012 International Conference on ICT Convergence
Y2 - 15 October 2012 through 17 October 2012
ER -