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Three fundamental dimensions of scientific workflow interoperability: model of computation, language, and execution environment
Umeå University, Faculty of Science and Technology, Department of Computing Science. (UMIT)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2010 (English)In: Future generations computer systems, ISSN 0167-739X, Vol. 26, no 2, 245-256 p.Article in journal (Refereed) Published
Abstract [en]

We investigate interoperability aspects of scientific workflow systems and argue that the workflow execution environment, the model of computation (MoC), and the workflow language form three dimensions that must be considered depending on the type of interoperability sought: at the activity, sub-workflow, or workflow levels. With a focus on the problems that affect interoperability, we illustrate how these issues are tackled by current scientific workflows as well as how similar problems have been addressed in related areas. Our long-term objective is to achieve (logical) interoperability between workflow systems operating under different MoCs, using distinct language features, and sharing activities running on different execution environments.

Place, publisher, year, edition, pages
Elsevier, 2010. Vol. 26, no 2, 245-256 p.
Keyword [en]
Scientific workflows; Workflow interoperability; Workflow languages; Model of computation; Grid interoperability
National Category
Computer Science
Research subject
Computing Science
URN: urn:nbn:se:umu:diva-19544DOI: 10.1016/j.future.2009.08.011ISI: 000271985200007OAI: diva2:202007
Available from: 2009-03-06 Created: 2009-03-06 Last updated: 2012-01-13Bibliographically approved
In thesis
1. Portable Tools for Interoperable Grids: Modular Architectures and Software for Job and Workflow Management
Open this publication in new window or tab >>Portable Tools for Interoperable Grids: Modular Architectures and Software for Job and Workflow Management
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The emergence of Grid computing infrastructures enables researchers to shareresources and collaborate in more efficient ways than before, despite belongingto different organizations and being geographically distributed. While the Gridcomputing paradigm offers new opportunities, it also gives rise to newdifficulties. This thesis investigates methods, architectures, and algorithmsfor a range of topics in the area of Grid resource management. One studiedtopic is how to automate and improve resource selection, despite heterogeneityin Grid hardware, software, availability, ownership, and usage policies.Algorithmical difficulties for this are, e.g., characterization of jobs andresources, prediction of resource performance, and data placementconsiderations. Investigated Quality of Service aspects of resource selectioninclude how to guarantee job start and/or completion times as well as how tosynchronize multiple resources for coordinated use through coallocation.Another explored research topic is architectural considerations for frameworksthat simplify and automate submission, monitoring, and fault handling for largeamounts of jobs. This thesis also investigates suitable Grid interactionpatterns for scientific workflows, studies programming models that enable dataparallelism for such workflows, as well as analyzes how workflow compositiontools should be designed to increase flexibility and expressiveness. We today have the somewhat paradoxical situation where Grids, originally aimed tofederate resources and overcome interoperability problems between differentcomputing platforms, themselves struggle with interoperability problems causedby the wide range of interfaces, protocols, and data formats that are used indifferent environments. This thesis demonstrates how proof-of-concept softwaretools for Grid resource management can, by using (proposed) standard formatsand protocols as well as leveraging state-of-the-art principles fromservice-oriented architectures, be made independent of current Gridinfrastructures. Further interoperability contributions include an in-depthstudy that surveys issues related to the use of Grid resources in scientificworkflows. This study improves our understanding of interoperability amongscientific workflow systems by viewing this topic from three differentperspectives: model of computation, workflow language, and executionenvironment. A final contribution in this thesis is the investigation of how the design ofGrid middleware tools can adopt principles and concepts from softwareengineering in order to improve, e.g., adaptability and interoperability.

Place, publisher, year, edition, pages
Umeå: Umeå Universitet, Institutionen för Datavetenskap, 2009. 254 p.
Report / UMINF, ISSN 0348-0542 ; 09.08
Grid computing, scheduling, resource brokering, performance predictions, advance reservations, coallocation, standards-based infrastructure, interoperability, service-oriented architecture, job management, workflows, data flow
National Category
Computer Science
urn:nbn:se:umu:diva-19630 (URN)978-91-7264-754-1 (ISBN)
Public defence
2009-04-03, MA121, MIT-huset, SE 901 87, Umeå, 13:15 (English)
Available from: 2009-03-13 Created: 2009-03-09 Last updated: 2009-03-13Bibliographically approved

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Elmroth, ErikHernández, FranciscoTordsson, Johan
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