Scheduling efficiency of resource information aggregation in grid networks

Kokkinos, Panagiotis; Varvarigos, Emmanouel

doi:10.1016/j.future.2011.06.008

Cited by 14 publications

(7 citation statements)

References 20 publications

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“…Usually, resource scheduler prefer working with exact resource information other than aggregated one (Kokkinos and Varvarigos, 2012). In the work of Rodero et al (2010), two aggregation algorithms were considered: simple and categorised.…”

Section: Related Workmentioning

confidence: 99%

“…It is important to keep the detailed resource information private, while the resource is available to be used outside. Resolving this issue may open the door for cloud computing systems such as Amazon EC2 and Microsoft Azure Information to interoperate or integrate (Kokkinos and Varvarigos, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Information aggregation and abstraction help manage large volumes of resource status information. In large scale multi-domain grid systems, resource information sizes grow rapidly (Kokkinos and Varvarigos, 2012). In such situations, information aggregation and abstraction help in reducing the amount of information exchange which results also in reducing the information transfer and processing times.…”

Section: Introductionmentioning

confidence: 99%

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Resource information sharing in multi-domain optical grids

Abouelela

El-Darieby

2014

IJGUC

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Providing interoperability in multi-domain optical grids requires sharing resource information among different domains. Sharing full resource information may not be appropriate due to security and business confidentiality reasons. We propose resource information sharing approach based on information aggregation and abstraction for both computing and networking resources. Information aggregation and abstraction affects the overall accuracy of information representation. This calls for more accurate information abstraction techniques. We propose three abstraction techniques: direct formulas, historical data and real-time measurements. The performance of the proposed information sharing approach and the abstraction techniques is evaluated by studying their impact on scheduling divisible load grid applications. Simulation results highlight the advantages of the proposed approach specially for data intensive applications. By using the proposed abstraction techniques, the same performance could be achieved as using large volumes of exact information.Reference to this paper should be made as follows: Abouelela, M. and El-Darieby, M. (2014) 'Resource information sharing in multi-domain optical grid', Int.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource information sharing in multi-domain optical grids

Abouelela

El-Darieby

2014

IJGUC

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“…In general it has to be distinguished between the monitoring of continuously changing states of a distributed system, e.g. server load and bandwidth [3][4][5] and the monitoring of events [6,7] indicating the progress of a specific workflow or even a group of concurrent workflows. In this context the classical monitoring approaches are combined with elements from complex event processing [8][9][10] in which the progress of a workflow is captured as an ordered set of events, the so-called trace or lifeline [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of concurrent workflows

Kempa-Liehr

2015

Journal of Big Data

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Automated workflows are the key concept of big data pipelines in science, engineering and enterprise applications. The performance analysis of automated workflows is an important topic of the continuous improvement process and the foundation of designing new workflows. This paper introduces the concept of process evolution functions and event reduction policies, which allow for the time resolved visualization of an unlimited number of concurrent workflows by means of aggregated task views. The visualization allows for an intuitive approach to the performance analysis of concurrent workflows. The theoretical foundation of this approach is applicable for workflows represented by directed acyclic graphs. It is explained on the basis of a simple IO-workflow model, which is typically found for distributed resource management systems utilized for many-task computing.

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“…With the development of information technology and network technology, it provides the technical and feasible platform environment for the network of sports information resources. Information network currently has been advocated all over the world, which has five application fields [2], including e-government, e-commerce, distance education, telemedicine and electronic entertainment, sports information already penetrate the constituted the characteristics of sports information resources.…”

Section: Introductionmentioning

confidence: 99%