Efficient hierarchical self-scheduling for MPI applications executing in computational Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Policy-Based Access Control in Peer-to-Peer Grid Systems
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Promoting performance and separation of concerns for data mining applications on the grid
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Allocation strategies for utilization of space-shared resources in Bag of Tasks grids
Future Generation Computer Systems
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In this paper we discuss the difficulties involved in the scheduling of applications on computational grids. We highlight two main sources of difficulties: firstly, the size of the grid rules out the possibility of using a centralized scheduler; secondly, since resources are managed by different parties, the scheduler must consider several different policies. Thus, we argue that scheduling applications on a grid require the orchestration of several schedulers, with possibly conflicting goals. We discuss how we have addressed this issue in the context of PAUÁ, a grid for Bag-of-Tasks applications (i.e. parallel applications whose tasks are independent) that we are currently deploying throughout Brazil.