Transparent Optimization of Grid Server Selection With Real-Time Passive Network Measurements

Zangrilli, Marcia; Lowekamp, Bruce

doi:10.1109/broadnets.2006.4374425

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Our current model ignores the time taken to transfer data to, and from, a service. The research of Zangrilli and Lowekamp [26] dynamically selecting services based on network performance. A proxy service is used to passively monitor network performance through the Wren monitoring toolkit [27], and service selection is based solely on the available bandwidth between the proxy and the services.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Service Selection in Workflows Using Performance Data

Walker

Huang

Rana

et al. 2007

Scientific Programming

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An approach to dynamic workflow management and optimisation using near-realtime performance data is presented. Strategies are discussed for choosing an optimal service (based on user-specified criteria) from several semantically equivalent Web services. Such an approach may involve finding "similar" services, by first pruning the set of discovered services based on service metadata, and subsequently selecting an optimal service based on performance data. The current implementation of the prototype workflow framework is described, and demonstrated with a simple workflow. Performance results are presented that show the performance benefits of dynamic service selection. A statistical analysis based on the first order statistic is used to investigate the likely improvement in service response time arising from dynamic service selection.

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Section: Related Workmentioning

confidence: 99%

Dynamic Service Selection in Workflows Using Performance Data

Walker

Huang

Rana

et al. 2007

Scientific Programming

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Providing Grid Schedulers with Passive Network Measurements

Elkhatib

Edwards

Mackay

et al. 2009

2009 Proceedings of 18th International Conference on Computer Communications and Networks

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Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate performance. However, grids are highly complex systems. They consist of heterogeneous resources on disparate hosts from various virtual organizations interconnected via a mixture of communication standards. Monitoring grid resources allows grid schedulers to adapt to changes in the status of these remote resources and the network paths between them. This is crucial to ensuring optimum performance. In this paper we introduce a distributed solution, called GridMAP, to collect network and end-host resource measurements, analyze their performance and feed these statistics and predictions back to schedulers. At this stage, we present our implementation of a passive TCP-SYN-based technique to provide GridMAP with round trip time and throughput measurements and we evaluate our approach against ping and iperf.

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Transparent Optimization of Grid Server Selection With Real-Time Passive Network Measurements

Cited by 2 publications

References 12 publications

Dynamic Service Selection in Workflows Using Performance Data

Dynamic Service Selection in Workflows Using Performance Data

Providing Grid Schedulers with Passive Network Measurements

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