A case for high performance computing with virtual machines

Huang, Wei; Liu, Jiuxing; Abali, Bülent; Panda, Dhabaleswar K.

doi:10.1145/1183401.1183421

Cited by 221 publications

(115 citation statements)

References 15 publications

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“…It is very heavy for the staff to cope with ! Some of the computer system maintenance experiments such as disk partition, format, installation and operation system, system backup and recovery, and so on [5]. Due to the disk of destructive test, to worry about the damage of hardware equipment, teachers often take classroom demonstration or speaking in leveling teaching!…”

Section: Present Situation Of University Computer Center Roommentioning

confidence: 99%

The Management of Computer Room Research based on VMware Virtual Machine Technology

Hu¹

2016

Advances in Computer Science Research

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Abstract-Experiments in the computer teaching process often need to use a number of operating systems, which often destroys the computer room in common operating system. Maintenance of the engine room has brought some difficulties. If the traditional experiments build a virtual experimental platform to complete on the basis of virtual machine technology, it cannot only improve the use of the engine room, but also can release the administrator from the tedious maintenance work. Therefore, it has important practical value.

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Section: Present Situation Of University Computer Center Roommentioning

confidence: 99%

The Management of Computer Room Research based on VMware Virtual Machine Technology

Hu¹

2016

Advances in Computer Science Research

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“…Moreover, different from Reservoir, the implementation of TRE is not bound to virtual machines, e.g., XEN or VMware. Though there are various research efforts to create efficient mechanisms, such as bypass paths, to enhance the I/O performance in virtualized environments [44] [45], virtual machine technologies still bring high overheads to some HPC applications [44] [45]. Taking into account that case, DawningCloud supports both physical and virtual resources provisioning.…”

Section: Dawningcloud Architecturementioning

confidence: 99%

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Wang

Zhan

Shi

et al. 2012

IEEE Trans. Parallel Distrib. Syst.

101

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Abstract-The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud computing: in cloud, can small-to-medium scale scientific communities benefit from the economies of scale? Our research contributions are three-fold: first, we propose an innovative public cloud usage model for small-to-medium scale scientific communities to utilize elastic resources on a public cloud site while maintaining their flexible system controls, i.e., create, activate, suspend, resume, deactivate, and destroy their high-level management entities-service management layers without knowing the details of management. Second, we design and implement an innovative system-DawningCloud, at the core of which are lightweight service management layers running on top of a common management service framework. The common management service framework of DawningCloud not only facilitates building lightweight service management layers for heterogeneous workloads, but also makes their management tasks simple. Third, we evaluate the systems comprehensively using both emulation and real experiments. We found that for four traces of two typical scientific workloads: high throughput computing (HTC) and many task computing (MTC), DawningCloud saves the resource consumption maximally by 59.5% and 72.6% for HTC and MTC service providers, respectively, and saves the total resource consumption maximally by 54% for the resource provider with respect to the previous two public cloud solutions. To this end, we conclude that small-to-medium scale scientific communities indeed can benefit from the economies of scale of public clouds with the support of the enabling system.

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“…Huang et al [4] ran the MPI NAS benchmarks and HPL inside of Xen. They measured performance using the Xenoprof infrastructure and found most of the overhead to be I/O related.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of the HPC Challenge Benchmarks in Virtualized Environments

Łuszczek

Meek

Moore

et al. 2012

Euro-Par 2011: Parallel Processing Workshops

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Abstract. This paper evaluates the performance of the HPC Challenge benchmarks in several virtual environments, including VMware, KVM and VirtualBox. The HPC Challenge benchmarks consist of a suite of tests that examine the performance of HPC architectures using kernels with memory access patterns more challenging than those of the High Performance Linpack (HPL) benchmark used in the TOP500 list. The tests include four local (matrix-matrix multiply, STREAM, RandomAccess and FFT) and four global (High Performance Linpack -HPL, parallel matrix transpose -PTRANS, RandomAccess and FFT) kernel benchmarks. The purpose of our experiments is to evaluate the overheads of the different virtual environments and investigate how different aspects of the system are affected by virtualization. We ran the benchmarks on an 8-core system with Core i7 processors using Open MPI. We did runs on the bare hardware and in each of the virtual environments for a range of problem sizes. As expected, the HPL results had some overhead in all the virtual environments, with the overhead becoming less significant with larger problem sizes. The RandomAccess results show drastically different behavior and we attempt to explain it with pertinent experiments. We show the cause of variability of performance results as well as major causes of measurement error.

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A case for high performance computing with virtual machines

Cited by 221 publications

References 15 publications

The Management of Computer Room Research based on VMware Virtual Machine Technology

The Management of Computer Room Research based on VMware Virtual Machine Technology

In Cloud, Can Scientific Communities Benefit from the Economies of Scale?

Evaluation of the HPC Challenge Benchmarks in Virtualized Environments

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