Bio-Workflows with BizTalk: Using a Commercial Workflow Engine for eScience

Rygg, Asbjørn; Mann, Steven; Roe, Paul; Wong, On

doi:10.1109/e-science.2005.22

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…Gridant [1] presents client-side workflow management system enabling the clients to map the process without considerable help from the service providers. Rygg et al [36] demonstrate the usage of a commercial workflow engine for the composition of bio-workflows. Work presented in [28] describes a lightweight system for business workflows that are based on Web Services related technologies (such as SOAP, WSDL and BPEL).…”

Section: Related Workmentioning

confidence: 99%

An Approach for the High‐Level Specification of QoS‐Aware Grid Workflows Considering Location Affinity

Brandić

Pllana

Benkner

2006

Scientific Programming

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Many important scientific and engineering problems may be solved by combining multiple applications in the form of a Grid workflow. We consider that for the wide acceptance of Grid technology it is important that the user has the possibility to express requirements on Quality of Service (QoS) at workflow specification time. However, most of the existing workflow languages lack constructs for QoS specification. In this paper we present an approach for high level workflow specification that considers a comprehensive set of QoS requirements. Besides performance related QoS, it includes economical, legal and security aspects. For instance, for security or legal reasons the user may express the location affinity regarding Grid resources on which certain workflow tasks may be executed. Our QoS-aware workflow system provides support for the whole workflow life cycle from specification to execution. Workflow is specified graphically, in an intuitive manner, based on a standard visual modeling language. A set of QoS-aware service-oriented components is provided for workflow planning to support automatic constraint-based service negotiation and workflow optimization. For reducing the complexity of workflow planning, we introduce a QoS-aware workflow reduction technique. We illustrate our approach with a real-world workflow for maxillo facial surgery simulation.

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Section: Related Workmentioning

confidence: 99%

An Approach for the High‐Level Specification of QoS‐Aware Grid Workflows Considering Location Affinity

Brandić

Pllana

Benkner

2006

Scientific Programming

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“…Business workflows had been researched and utilized over many years; more recently science recognized the need for workflows, and several specialized workflow engines have been developed. [3] Scheduling is the decision process that assigns application components to available resources to optimize various performance metrics. Grid workload management and scheduling subsystems enable the efficient distribution of tasks in Grid systems and allow their transparent execution by hiding the complexity of the Grid infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Optimization of workflow scheduling in Utility Management System with hierarchical neural network

Vukmirovic¹,

Erdeljan²,

Lendak³

et al. 2011

IJCIS

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Grid computing could be the future computing paradigm for enterprise applications, one of its benefits being that it can be used for executing large scale applications. Utility Management Systems execute very large numbers of workflows with very high resource requirements. This paper proposes architecture for a new scheduling mechanism that dynamically executes a scheduling algorithm using feedback about the current status Grid nodes. Two Artificial Neural Networks were created in order to solve the scheduling problem. A case study is created for the Meter Data Management system with measurements from the Smart Metering system for the city of Novi Sad, Serbia. Performance tests show that significant improvement of overall execution time can be achieved by Hierarchical Artificial Neural Networks.

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“…Nonetheless, commercial business administration WfMSs such as Microsoft's BizTalk have successfully been used for designing and running bioinformatics workflows [21].…”

Section: Workflow Use In Other Domainsmentioning

confidence: 99%

e-BioFlow: Improving Practical Use of Workflow Systems in Bioinformatics

Wassink

Ooms

Neerincx

et al. 2010

Information Technology in Bio- And Medical Informatics, ITBAM 2010

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Abstract. Workflow management systems (WfMSs) are useful tools for bioinformaticians. As experiences with using WfMSs accumulate, shortcomings of current systems become apparent. In this paper, we focus on practical issues that hinder WfMS users and that arise in the design and execution of workflows, and in access of web services. We present e-BioFlow, a workflow engine that demonstrates in which way a number of these problems can be solved. e-BioFlow offers an improved user interface, can deal with large data volumes, stores all provenance, and has a powerful provenance browser. e-BioFlow also offers the possibility to design and run workflows step by step, allowing its users an explorative research style.

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Bio-Workflows with BizTalk: Using a Commercial Workflow Engine for eScience

Abstract: Abstract

Cited by 10 publications

References 4 publications

An Approach for the High‐Level Specification of QoS‐Aware Grid Workflows Considering Location Affinity

An Approach for the High‐Level Specification of QoS‐Aware Grid Workflows Considering Location Affinity

Optimization of workflow scheduling in Utility Management System with hierarchical neural network

e-BioFlow: Improving Practical Use of Workflow Systems in Bioinformatics

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