Building Scientific Workflow with Taverna and BPEL: A Comparative Study in caGrid

Tan, Wei; Missier, Paolo; Madduri, Ravi; Foster, Ian

doi:10.1007/978-3-642-01247-1_11

Cited by 31 publications

(12 citation statements)

References 16 publications

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“…Other scientific workflow tools such as Taverna [10] and myExperiment [9] are also candidate technologies for use as workflow tools in the UAL of the KBase architecture. Taverna provides a workbench to launch workflows published and shared on the myExperiment site.…”

Section: Discussionmentioning

confidence: 99%

Exploring Architecture Options for a Federated, Cloud-Based System Biology Knowledgebase

Gorton

Liu

Yin

2010

2010 IEEE Second International Conference on Cloud Computing Technology and Science

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Systems biology is characterized by a larg scientists who use a wide variety of fragmente data sets and computational tools of all scales research. In order to provide a more coheren environment for systems biology, we are wo the Department of Energy Systems Biology (Kbase) project to define a federated clou architecture. The Kbase will eventually host m of biological data, provide high performan computational resources, and support a large with tools and services to enable them to u resources. In this paper, we describe the investigations into the design of a workflo suitable for use in the Kbase. The approach u based workflow description and open so technologies, and incorporates a data a execution layer for exploiting data locality architecture. We describe a use case and the implementation we have built that demonstrat of our approach.

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Section: Discussionmentioning

confidence: 99%

Exploring Architecture Options for a Federated, Cloud-Based System Biology Knowledgebase

Gorton

Liu

Yin

2010

2010 IEEE Second International Conference on Cloud Computing Technology and Science

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“…In Tan et al [23], the authors compare the service discovery, service composition, workflow execution, and workflow result analysis between BPEL and a workflow management system (Taverna) in the use of scientific workflows. They determine that Taverna provides a more compact set of primitives than BPEL and a functional programming model that eases data flow modelling.…”

Section: Workflowmentioning

confidence: 99%

Time-based orchestration of workflow, interoperability with G-Devs/Hla

Ribault

Zacharewicz

2015

Journal of Computational Science

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a b s t r a c tEnterprises information systems (EIS) take benefits of latest advanced of web services and Internet of things to improve information retrieving and gathering for decision making. Furthermore, EIS should permit a more comprehensive information routing in the company within an electronic workflow in order to save time, cost and to reduce production impact on the environment. Such software has to interact frequently with real world data acquired by different sensors. Nevertheless this combination of software and hardware devices frequently faces interoperability problems. Also, testing and validating the EIS is not trivial without testing in real condition that can lead to deploy the large system. Authors assumed that testing and validating part of the system behaviour can be anticipated progressively by simulation, permitting then more progressive and confident system integration. This paper proposes to introduce a new workflow demonstration platform to combine simulation world with real world interacting with sensor, human interfacing and web service calls. In detail, this paper proposes to combine the Taverna Workflow tool, which handles and triggers web services call proposed by a platform server, to other software components. This combination has revealed one drawback of major workflows orchestrators; they do not provide time management facilities to handle synchronization during parallel execution of interdependent workflows. To overcome that limitation a clock ordering solution has been added by reusing G-DEVS/HLA to synchronize workflows running in parallel. The imbrications of G-DEVS M&S with Taverna workflow is now operating thanks to HLA. This work is validated by demonstrating the interoperability and the complementarity of these approaches on a logistic platform study case.

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“…Some of the features of scientific workflow in Grid environment are: (1) resources are highly distributed, (2) scientific workflows often contains many tasks and involve large data sets which requires intensive computation, so it will be easy to use on the Grid environment [28].…”

Section: Use Of Grid For Scientific Workflow Systemsmentioning

confidence: 99%