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Resources in distributed infrastructure such as the grid are typically autonomously managed and shared across a distributed set of end users. These characteristics result in a fundamental conflict: resource providers optimize for throughput and utilization which coupled with a stochastic multiuser workload results in nondeterministic best effort service for any one application. This conflicts with...
We consider a collaborative scheduling problem motivated by mining in remote off-grid areas. In our model, jobs are assigned to processors who each have their own machine for executing them. As each job needs a certain amount of a resource shared between the processors, a coordination mechanism between the processors is needed. We present a framework which collaboratively computes a schedule while...
Utility grids such as the Amazon EC2 cloud and Amazon S3 offer computational and storage resources that can be used on-demand for a fee by compute and data-intensive applications. The cost of running an application on such a cloud depends on the compute, storage and communication resources it will provision and consume. Different execution plans of the same application may result in significantly...
Application scheduling studies on large-scale shared resources have advocated the use of resource provisioning in the form of advance reservations for providing predictable and deterministic quality of service to applications. Resource scheduling studies however have shown the adverse impact of advance reservations in the form of reduced utilization and increased response time of the resources. Thus,...
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