2016
DOI: 10.1016/j.future.2015.07.003
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Self-scalable services in service oriented software for cost-effective data farming

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Cited by 17 publications
(7 citation statements)
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“…The Scalarm platform's 14 [28] data farming use case allows illustrating how to specify CAMEL models conforming to CAMEL's textual syntax. We limit the presentation to those specific CAMEL sub-models presented in "The CAMEL language" section to illustrate the definition of essential properties for the use case.…”
Section: Camel Application: the Data Farming Use Casementioning
confidence: 99%
“…The Scalarm platform's 14 [28] data farming use case allows illustrating how to specify CAMEL models conforming to CAMEL's textual syntax. We limit the presentation to those specific CAMEL sub-models presented in "The CAMEL language" section to illustrate the definition of essential properties for the use case.…”
Section: Camel Application: the Data Farming Use Casementioning
confidence: 99%
“…The support for workflows is available via Nimrod/K [76], which incorporates Kepler's capabilities on building complex workflows, and Nimrod's ability to execute sweeps over distributed resources. Scalarm [77], which stands for Massively Scalable Platform for Data Farming, is another platform that supports parameter sweep applications on heterogeneous computing infrastructures, such as grids and clouds. Scalarm has been developed in order to support data farming, from the experiment phase to the simulation execution and analysis of results, allowing users to manage computational resources regardless of the computing infrastructures used.…”
Section: Parameter Sweepsmentioning
confidence: 99%
“…It has been designed and implemented as an extension (named Pathfinder) of an existing platform supporting large-scale parameter studies and data farming experiments called Scalarm, which was developed in our previous work [1]. It has been designed and implemented as an extension (named Pathfinder) of an existing platform supporting large-scale parameter studies and data farming experiments called Scalarm, which was developed in our previous work [1].…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we propose a new approach to SA‐based experiments featuring massively parallel execution on HPC systems and automatic input parameter space exploration to study complex industrial problems with computer simulations. It has been designed and implemented as an extension (named Pathfinder ) of an existing platform supporting large‐scale parameter studies and data farming experiments called Scalarm, which was developed in our previous work . In this work, we introduce new functionality to Scalarm, that is, capability to automatically decide which input parameter values of a simulation model should be explored based on a given algorithm such as a selected SA method.…”
Section: Introductionmentioning
confidence: 99%