An Efficient Scheduling of HPC Applications on Geographically Distributed Cloud Data Centers

An Efficient Scheduling of HPC Applications on Geographically Distributed Cloud Data Centers
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DOI:
10.1007/978-3-319-10903-9_13
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发表时间:
2013-12
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通讯作者:
Aboozar Rajabi;H. Faragardi;Thomas Nolte
Aboozar Rajabi;H. Faragardi;Thomas Nolte
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文献类型:
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作者:
Aboozar Rajabi;H. Faragardi;Thomas Nolte

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云计算为IT行业提供了一个灵活的基础架构,以运行其高性能计算(HPC)应用程序。云提供商通过一组称为云联盟的数据中心来提供这样的计算基础设施。云联盟的数据中心通常分布在世界各地。云计算提供商的利润在很大程度上取决于能源消耗成本。由于数据中心分布在世界各地,不同数据中心的能源消耗成本和二氧化碳排放量差异很大。因此,在这些系统中适当地分配HPC应用可以导致CO2排放的减少和供应商利润的大幅增加。减少二氧化碳排放也减轻了对环境的破坏性影响。在本文中,调度HPC应用程序在地理上分布的云联邦的问题进行了仔细研究。为了解决这个问题,我们提出了一个两级调度,这是能够达到一个很好的妥协之间的CO2排放量和利润的云提供商。调度器还应该满足所有HPC应用程序的截止日期和内存约束。基于一个真实的密集型工作负载的仿真结果表明,所提出的调度器减少了17%的CO2排放量,而在同一时间,它提高了供应商的利润平均为9%。
Cloud computing provides a flexible infrastructure for IT industries to run their High Performance Computing (HPC) applications. Cloud providers deliver such computing infrastructures through a set of data centers called a cloud federation. The data centers of a cloud federation are usually distributed over the world. The profit of cloud providers strongly depends on the cost of energy consumption. As the data centers are located in various corners of the world, the cost of energy consumption and the amount of CO2emission in different data centers varies significantly. Therefore, a proper allocation of HPC applications in such systems can result in a decrease of CO2emission and a substantial increase of the providers’ profit. Reduction of CO2emission also mitigates the destructive environmental impacts. In this paper, the problem of scheduling HPC applications on a geographically distributed cloud federation is scrutinized. To address the problem, we propose a two-level scheduler which is able to reach a good compromise between CO2emission and the profit of cloud provider. The scheduler should also satisfy all HPC applications’ deadline and memory constraints. Simulation results based on a real intensive workload indicate that the proposed scheduler reduces the CO2emission by 17 % while at the same time it improves the provider’s profit by 9 % on average.