TY - GEN
T1 - Understanding resource provisioning for ClimatePrediction.net
AU - Awan, Malik Shahzad K.
AU - Jarvis, Stephen A.
PY - 2010
Y1 - 2010
N2 - Peer-to-peer computing, involving the participation of thousands of general purpose, public computers, has established itself as a viable paradigm for executing loosely-coupled, complex scientific applications requiring significant computational resources. ClimatePrediction.net is an excellent demonstrator of this technology, having attracted hundreds of thousands of users from more than 200 countries for the efficient and effective execution of complex climate prediction models. This paper is concerned with understanding the underlying compute resources on which ClimatePrediction.net commonly executes. Such a study is advantageous to three different stakeholders, namely the application developers, the project participants and the project administrators. This is the first study of this kind, and while offering general conclusions with specific reference to ClimatePrediction.net, it also illustrates the benefits of such work to scalability analysis of other peer-to-peer projects.
AB - Peer-to-peer computing, involving the participation of thousands of general purpose, public computers, has established itself as a viable paradigm for executing loosely-coupled, complex scientific applications requiring significant computational resources. ClimatePrediction.net is an excellent demonstrator of this technology, having attracted hundreds of thousands of users from more than 200 countries for the efficient and effective execution of complex climate prediction models. This paper is concerned with understanding the underlying compute resources on which ClimatePrediction.net commonly executes. Such a study is advantageous to three different stakeholders, namely the application developers, the project participants and the project administrators. This is the first study of this kind, and while offering general conclusions with specific reference to ClimatePrediction.net, it also illustrates the benefits of such work to scalability analysis of other peer-to-peer projects.
KW - Climate prediction
KW - Peer-to-peer computing
KW - Performance analysis
UR - http://www.scopus.com/inward/record.url?scp=78249278183&partnerID=8YFLogxK
U2 - 10.1109/CIT.2010.431
DO - 10.1109/CIT.2010.431
M3 - Conference contribution
AN - SCOPUS:78249278183
SN - 9780769541082
T3 - Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
SP - 2532
EP - 2539
BT - Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
T2 - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010
Y2 - 29 June 2010 through 1 July 2010
ER -
