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Grid scheduling is essential to Quality of Service provisioning as well as to efficient management of grid resources. Grid scheduling usually considers the state of the grid resources as well application demands. However, such demands are generally unknown for highly demanding applications, since these often generate data which will be transferred during their execution. Without appropriate assessment...
Grid and cloud schedulers benefit from predictable service for their choices in allocating jobs on remote servers/clusters. Predictable service on local clusters supports fairness and user satisfaction. The paper looks into servers that employ batch scheduling and support time sharing and/or space partitioning of the available resources among different parallel-job workloads. This provides the basis...
The grid service has been used widely as a trend, and the scheduling algorithm for grid service has become a research focus. In this paper, a grid service scheduling architecture based on economic model (GSAEM) is proposed. The GSAEM introduces economic model into grid service scheduling, and deduces the optimal prices of grid service under every condition of resource constraints by marginal principle...
In order to co-ordinate multiple resource providers in grid environment to meet a common objective, support for negotiation is needed to establish a contract between the user and the resource providers that clearly states the QoS required, restrictions on resource utilization and penalties during violation of the objective. Strength of the negotiation process mainly depends on the selection of resources...
Grids are emerging as a promising solution for resource and computation demanding applications. Here, task scheduling is one of the most important subjects. In traditional approaches for grid scheduling, makespan or completion time of scheduling is the most important parameter for optimization. But in these algorithms, some parameters like user requirements arenpsilat considered. Over the last few...
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