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Distributed High Performance Computing in OpenStack Cloud over SDN Infrastructure

机译:SDN基础架构上的OpenStack Cloud中的分布式高性能计算

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Cloud computing facilitates end users to allow high performance computing applications by allocating resources on demand. This avoids large capital expenditure for small and medium sized enterprises having limited resources to obtain High Performance Computing(HPC). In this paper, we propose a new distributed HPC model in self-built OpenStack public cloud under SDN infrastructure. For partitioning any task in HPC, domain decomposition strategy is used. We analyse different parallel computation topologies and benchmark their performances. The public cloud constructed under OpenStack platform is integrated with OpenDaylight SDN controller for network controlling and monitoring. Also, we analyze and compare the performance of the OpenStack cloud with and without proposed distributed HPC system. The result shows that the speed performance of OpenStack cloud under SDN infrastructure is enhanced by implementation of our HPC system based on Hypercube algorithm and Mesh Algorithm.
机译:云计算可通过按需分配资源来帮助最终用户启用高性能计算应用程序。这避免了为获得高性能计算(HPC)而资源有限的中小型企业的大量资本支出。在本文中,我们在SDN基础架构下的自建OpenStack公共云中提出了一种新的分布式HPC模型。为了在HPC中对任何任务进行分区,使用了域分解策略。我们分析了不同的并行计算拓扑,并对它们的性能进行了基准测试。在OpenStack平台下构建的公共云与OpenDaylight SDN控制器集成在一起,用于网络控制和监视。此外,我们分析和比较了有无建议的分布式HPC系统时OpenStack云的性能。结果表明,基于Hypercube算法和Mesh算法的HPC系统的实现提高了SDN基础架构下OpenStack云的速度性能。

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