Cloud-Based Concurrent Simulation at Work: Fast Performance Prediction of Parallel Programs

Rak, Massimiliano; Cuomo, Antonio; Villano, Umberto

doi:10.1109/wetice.2012.74

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The SLA framework was applied further for the management of security-based SLA (in [50][51][52][53]) and has been integrated in simulation engines able to predict the evolution of the developed application [54,55].…”

Section: Vendor Modulesmentioning

confidence: 99%

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Experiences in building a mOSAIC of clouds

Petcu

Martino

Venticinque

et al. 2013

J Cloud Comput Adv Syst Appl

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The diversity of Cloud computing services is challenging the application developers as various and non-standard interfaces are provided for these services. Few middleware solutions were developed until now to support the design, deployment and execution of service-independent applications as well as the management of resources from multiple Clouds. This paper focuses on one of these advanced middleware solutions, called mOSAIC. Written after the completion of its development, this paper presents an integrated overview of the mOSAIC approach and the use of its various software prototypes in a Cloud application development process. We are starting from the design concepts and arrive to various applications, as well as to the position versus similar initiatives.

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Section: Vendor Modulesmentioning

confidence: 99%

“…Its architecture is explained in [55]. Using this prototype several performance prediction studies of Cloud-based parallel simulations were done [54,137].…”

Section: Related Prototypesmentioning

confidence: 99%

Experiences in building a mOSAIC of clouds

Petcu

Martino

Venticinque

et al. 2013

J Cloud Comput Adv Syst Appl

Self Cite

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Planting parallel program simulation on the cloud

Cuomo

Rak

Villano

2013

Concurrency and Computation

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SummaryThe writing of efficient parallel code has always been a tedious and time‐consuming process. However, the performance prediction prototype tools devised in the last decade come of age now, thanks to the availability of the almost unlimited computing power of clouds. This paper presents the practical use of mJADES, a novel environment for running multiple concurrent simulations in the cloud, to predict the performance of parallel code in multiple working conditions at once. After an introduction on mJADES and its operational aspects, the construction of parallel code performance prediction models will be dealt with. The models and the results obtained for a simple but complete and meaningful case study will be presented, discussing the accuracy obtained by simulation and the time required for performing the whole set of simulations necessary to characterize the program behavior. Copyright © 2013 John Wiley & Sons, Ltd.

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