Understanding Resource Provisioning for ClimatePredication.net
Awan, M.S.K. and Jarvis, Stephen A., 1970- (2010) Understanding Resource Provisioning for ClimatePredication.net. In: 10th IEEE International Conference on Scalable Computing and Communications (SCALCOM10), Bradford, UK, 29 June - 1 July 2010Full text not available from this repository.
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.
|Item Type:||Conference Item (Paper)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Conference Paper Type:||Paper|
|Title of Event:||10th IEEE International Conference on Scalable Computing and Communications (SCALCOM10)|
|Type of Event:||Conference|
|Location of Event:||Bradford, UK|
|Date(s) of Event:||29 June - 1 July 2010|
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