By Marcel Risch, Jörn Altmann (auth.), Nabil Abdennadher, Dana Petcu (eds.)
This e-book constitutes the refereed lawsuits of the 4th overseas convention on Grid and Pervasive Computing, GPC 2009, held in Geneva, Switzerland, in might 2009.
The forty two revised complete papers awarded have been conscientiously reviewed and chosen from 112 submissions. The papers are geared up in topical sections on grid financial system, grid safety, grid functions, middleware, scheduling, load balancing, pervasive computing, sensor networks, peer-to peer in addition to fault tolerance.
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Additional resources for Advances in Grid and Pervasive Computing: 4th International Conference, GPC 2009, Geneva, Switzerland, May 4-8, 2009. Proceedings
Systems 21(2), 201–227 (2004) 12. : Amazon S3 for science grids: A viable solution? In: DADC 2008: Proceedings of the 2008 Intl. workshop on Data-aware distributed computing, pp. 55–64 (2008) 13. : Eliciting Honest Value Info. in a Batch-Queue Environment. In: The 8th IEEE/ACM Intl. Conf. on Grid Computing, Austin, Texas, USA, September 1921, pp. 291–297 (2007) 14. : A highly available job execution service in computational service market. In: The 8th IEEE/ACM IntI Conf. on Grid Computing, Austin, Texas, USA, September 1921, pp.
G. Customer rating, experience of provider). In our proposed approach, the process owner speciﬁes service level requirements as expected from the business perspective. At the IT infrastructure side we evaluate diﬀerent replication conﬁgurations of technical services in grid and cloud computing environments such as Amazon EC2. Both requirements and service capabilities of the diﬀerent conﬁgurations are then formalized and compared. Furthermore, we can start a negotiation between process owner and service provider based on this comparison.
Figueira Execution Agent. On starting, it registers itself at the Scheduler as a new available resource. During operation, it receives the application object from the Proxy and launches execution, loading classes and ﬁles dynamically from the client through the suma/g-Class Loader and I/O subsystem. Once the application has ﬁnished, the Execution Agent sends the results back to the client. In a parallel platform, it plays the role of the front-end. Only the front-end of a parallel platform is registered on suma/g either as a mpiJava enabled platform or as a farm, for multiple independent job executions.