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Clusters can be classified as homogeneous and heterogeneous clusters.
Wang and Lu proposed a threshold-based approach to reduce energy consumption for heterogeneous clusters [9].
The CPU/GPU heterogeneous clusters are important platforms for high performance computing applications.
This paper is devoted to scheduling a large collection of independent tasks onto heterogeneous clusters.
Results: Seven heterogeneous clusters in men and 4 clusters in women were identified.
Second, with the optimization of tasks assignment algorithm, we can maximize the performance of heterogeneous clusters.
Similarly, Chen at al. proposed a DVFS scheme for heterogeneous clusters that satisfy quality of service (QoS) requirements [10].
Our future work is to consider heterogeneous clusters because the cost is determined also by the type of computing instances.
The performance test shows satisfactory speedup and portability of the method on both homogeneous and heterogeneous clusters.
Heterogeneous clusters of computers usually provide high computing power for large-scale applications at the expense of large cost.
It exploits the inherent parallelism in data of uncorrelated events via a multi-tier architecture that optimizes I/O and CPU utilization in heterogeneous clusters with distributed storage.
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