Grid-Enabled Workflows for Industrial Product Design

Ghanem,; Azam, Mohd; Boniface, Michael; Ferris,

doi:10.1109/e-science.2006.261180

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…Simulation is nowadays a prerequisite for product design and scientific breakthroughs in most application areas, ranging from pharmacy, weather forecast, biology to climate modeling, that all require extensive simulations and testing [6] [8]. They often need large-scale experiments, including long-lasting runs in the orders of weeks, tested against petabytes volumes of data and will soon run on exascale supercomputers [10] [11] [19].…”

Section: Related Workmentioning

confidence: 99%

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Resilient workflows for cooperative design

Nguyên

Trifan

Désidéri

2011

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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This paper describes an approach to extend process modeling for engineering design applications with fault-tolerance and resilience capabilities. It is based on the requirements for application-level error handling, which is a requirement for petascale and exascale scientific computing. This complements the traditional fault-tolerance management features provided by the existing hardware and distributed systems. These are often based on data and operations duplication and migration, and on checkpoint-restart procedures. We show how they can be optimized for high-performance infrastructures. This approach is applied on a prototype tested against industrial testcases for optimization of engineering design artifacts.his electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.

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Section: Related Workmentioning

confidence: 99%

“…Workflows systems are the support for many e-Science applications [1][6] [8]. Among the most popular systems are Taverna, Kepler, Pegasus, Bonita and many others [11] [15].…”

Section: A the Yawl Workflow Systemmentioning

confidence: 99%

Resilient workflows for cooperative design

Nguyên

Trifan

Désidéri

2011

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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“…As shown in Fig. 3, within a Grid computing environment, each node can be further implemented as a sub-workflow implementing the steps required for accessing and invoking a remote Grid computing resource [18].…”

Section: Data Flowmentioning

confidence: 99%

Analysing scientific workflows with Computational Tree Logic

2009

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Motivated by the widespread use of workflow systems in e-Science applications, this article introduces a formal analysis framework for the verification and profiling of the control flow aspects of scientific workflows. The framework relies on process algebras that characterise each workflow component with a process behaviour, which is then used to build a CTL state model that can be reasoned about. We demonstrate the benefits of the approach by modelling the control flow behaviour of the Discovery Net system, one of the earliest workflow-based e-Science systems, and present how some key properties of workflows and individual service utilisation can be queried at design time. Our approach is generic and can be applied easily to modelling workflows developed in any other system. It also provides a formal basis for the comparison of control aspects of eScience workflow systems and a design method for future systems.

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“…Tsiakkouri et al [10] developed scheduling approaches to adjust a schedule generated by a time optimized heuristic and a cost optimized heuristic to meet users' budget constraints respectively. GRIA (Grid Resources for Industrial Applications) [24] provides various resource allocation strategies for workflow execution based on QoS requirements. In our previous work [9], we have developed algorithms based on the genetic algorithms to minimize either execution cost or time.…”

Section: Related Workmentioning

confidence: 99%

Multi-objective planning for workflow execution on Grids

Kirley

Buyya

2007

2007 8th IEEE/ACM International Conference on Grid Computing

128

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Abstract-Utility Grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility Grids, we need to consider multiple Quality of Service (QoS) parameters including service prices and execution time. These optimization objectives may be in conflict. In this paper, we have proposed a workflow execution planning approach using multi-objective evolutionary algorithms (MOEAs). Our goal was to generate a set of trade-off scheduling solutions according to the users QoS requirements. The alternative trade-off solutions offer more flexibility to users when estimating their QoS requirements of workflow executions. Simulation results show that MOEAs are able to find a range of compromise solutions in a short computational time.

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Grid-Enabled Workflows for Industrial Product Design

Abstract: This paper presents a generic approach for developing and using Grid-based

Cited by 9 publications

References 11 publications

Resilient workflows for cooperative design

Resilient workflows for cooperative design

Analysing scientific workflows with Computational Tree Logic

Multi-objective planning for workflow execution on Grids

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