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As the rapid advancement and diversity in the computing systems, it is demanding to take the most robust scheduling algorithm that guarantee an optimized performance to execute manifold applications on large-scale heterogeneous computing environments. This paper present an adaptive application-aware job scheduling optimization strategy for large-scale high throughput computing in heterogeneous infrastructures...
Cloud technologies, clusters and grids have actively supported large-scale scientific computing over the years. Whereas these technologies provide unlimited computing resources, combining them with the existing infrastructures to effectively support demanding scientific applications is more and more laborious. In this paper, we design a service architecture and propose an algorithm to optimize job...
The science cloud paradigm has been actively developed and investigated, but still requires a suitable model for science cloud system in order to support increasing scientific computation needs with high performance. This paper presents an effective provisioning model of science cloud, particularly for large-scale high throughput computing applications. In this model, we utilize job traces where a...
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