Optimisation schemes to improve hybrid co-scheduling for concurrent virtual machines

Yu, Yulong; Wang, Yuxin; Guo, He; He, Xubin

doi:10.1080/17445760.2012.656309

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…A number of studies have shown that various settings of I/O stack can lead to significant improvement in performance and resource utilization [7,30,43]. Table 1 lists a number of configurable I/O components and tuning methods 1 .…”

Section: Background and Motivationmentioning

confidence: 99%

IOrchestra

Chiang¹,

Huang

Wood

et al. 2015

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

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Multi-tier data-intensive applications are widely deployed in virtualized data centers for high scalability and reliability. As the response time is vital for user satisfaction, this requires achieving good performance at each tier of the applications in order to minimize the overall latency. However, in such virtualized environments, each tier (e.g., application, database, web) is likely to be hosted by different virtual machines (VMs) on multiple physical servers, where a guest VM is unaware of changes outside its domain, and the hypervisor also does not know the configuration and runtime status of a guest VM. As a result, isolated virtualization domains lend themselves to performance unpredictability and variance. In this paper, we propose IOrchestra, a holistic collaborative virtualization framework, which bridges the semantic gaps of I/O stacks and system information across multiple VMs, improves virtual I/O performance through collaboration from guest domains, and increases resource utilization in data centers. We present several case studies to demonstrate that IOrchestra is able to address numerous drawbacks of the current practice and improve the I/O latency of various distributed cloud applications by up to 31%.

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Section: Background and Motivationmentioning

confidence: 99%

IOrchestra

Chiang¹,

Huang

Wood

et al. 2015

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

View full text Add to dashboard Cite

show abstract

Services for numerical simulations and optimisations in grids

Limmer

Schneider

Boehme

et al. 2013

International Journal of Parallel, Emergent and Distributed Sys

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Numerical simulations are typically very computer intensive. A way to satisfy the arising demands for compute power is the employment of grid technology. But today, there exist only a few tools supporting the user in using grids for numerical simulations. In addition, some basic problems of grid technology are not solved with satisfaction. The goal of the project OptiNum-Grid was to address these issues. We present a number of tools that were developed in the project. These are tools for parameter sweeps and optimisations in grids, for data security and automatic software installation, as well as for virtual environments in grids. The tools were evaluated in the context of three different use cases, namely finite element method simulations, analog circuit simulations and e-beam simulations

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Services for numerical simulations and optimizations in grids

Limmer

Schneider

Boehme

et al. 2012

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing

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Numerical simulations are typically very compute intensive. A way to satisfy the arising demands for compute power is the employment of grid technology. But today, there exist only few tools, supporting the user in using grids for numerical simulations. Additionally, some basic problems of grid technology, are not solved with satisfaction. The goal of the project OptiNum-Grid was, to address these issues. We present a number of tools that were developed in the project. These are tools for parameter sweeps and optimizations in grids, for data security and automatic software installation, as well as for virtual environments in grids

show abstract

Optimisation schemes to improve hybrid co-scheduling for concurrent virtual machines

Cited by 3 publications

References 24 publications

IOrchestra

IOrchestra

Services for numerical simulations and optimisations in grids

Services for numerical simulations and optimizations in grids

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