Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid

Frédéric Desprez 1 Antoine Vernois 1
1 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the global throughput of software environments, replicas are usually put at wisely selected sites. Moreover, computation requests have to be scheduled among the available resources. To get the best performance, scheduling and data replication have to be tightly coupled which is not always the case in existing approaches. This paper presents an algorithm that combines data management and scheduling at the same time using a steady-state approach. Our theoretical results are validated using simulation and logs from a large life science application (ACI GRID GriPPS).
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Submitted on : Friday, May 19, 2006 - 8:49:29 PM
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Frédéric Desprez, Antoine Vernois. Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid. [Research Report] RR-5460, LIP RR-2005-01, INRIA, LIP. 2005, pp.19. ⟨inria-00070546⟩

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