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In this work we consider a problem from the field of power- and energy-aware scheduling, in which a set of batteries have to be charged in a minimum time. The formulated problem is to schedule independent and nonpreemptable jobs to minimize the schedule length, where each job requires some amount of power and consumes a certain amount of energy during its processing. We assume that the power demand...
Heterogeneous many-core computing resources are increasingly popular among users due to their improved performance over homogeneous systems. Many developers have realized that heterogeneous systems, e.g. a combination of a shared memory multi-core CPU machine with massively parallel Graphics Processing Units (GPUs), can provide significant performance opportunities to a wide range of applications...
The problem of scheduling workflow applications in a grid environment is considered. The problem is divided into two stages: (i) resource allocation, which consists in allocating distributed grid resources to tasks of a workflow in such a way that the resource demands of each task are satisfied, and (ii) scheduling performed by local grid schedulers. Grid resources are divided into computational and...
Grid simulation tools provide frameworks for simulating application scheduling in various grid infrastructures. However, while experimenting with many existing tools, we have encountered two main shortcomings: (i) there are no tools for generating workloads, resources and events ; (ii) it is difficult and time consuming to model different grid levels, i.e. resource brokers, and local level scheduling...
In this paper the multi-mode resource-constrained project scheduling problem with discounted cash flows is considered. A positive cash flow is associated with the completion of each activity. The objective is the maximization of the net present value of all cash flows. Local search metaheuristics: simulated annealing and tabu search are proposed to solve this problem. A comprehensive computational...
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