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Workshop Scientific workflow and business workflow standards in eScience

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Interoperability of WfS (a new PL1) or a generic WfS with interfaces ... How to choose a workflow system? One or more? How to deal with missing functionality? ... – PowerPoint PPT presentation

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Title: Workshop Scientific workflow and business workflow standards in eScience


1
WorkshopScientific workflow and business
workflow standards in e-Science
  • Adam Belloum and Zhiming Zhao
  • University of Amsterdam
  • Virtual Laboratory for e-Science

2
Panel discussion
  • Scientific workflows in VL-e
  • Challenging issues in VL-e workflows
  • Discussion

3
Workflows _at_ e-Science2006, Marian Bubak
  • Wf a high-level paradigm for development of
    large, collaborative applications the only one?
  • WfS PSE?
  • WfS OS?
  • WfS Grid / GRID ? (most WfS born before 1997)
  • Computer science vs pure software engineering
  • Low level paradigms (Petri nets, TM, SA, )
  • Exploitation of knowledge (K-WfGrid and its
    sisters)
  • Interactivity
  • Interoperability of WfS (a new PL1) or a generic
    WfS with interfaces to
  • Computing resources
  • Data
  • Domain ontologies
  • (Provenance subsystem)
  • Is it time for (standard) libraries of sci
    components / WS ? How?
  • Lessons learnt from commercial world

4
Workflow support in VL-e
  • How to move to e-Science?
  • How to describe and run e-Science experiments?
  • What model?
  • What WF language?
  • How to decompose functionality?
  • How to choose a workflow system?
  • One or more?
  • How to deal with missing functionality?

Domain specific applications
These issues exist in almost all e-Science
projects, but they become more difficult when
different application domains are supported.
State of the art e-Science services.
Different levels of e-Science services.
Kepler, taverna, and triana
Existing workflow systems.
Workflow in VL-e effective and concrete solutions
for interfacing, Integration, and interoperability
How to choose a standard when do integration?
How to support human in the loop? -Provenance? -Fa
ult tolerance?
Grid infrastructure.
5
The vision of the panelists
  • What will be the future of e-Science workflow
    management systems in a couple of years?
  • What will be the top three issues to be
    addressed?

6
Themes in this workshop
  • Running scientific experiments on e-Science
    environments
  • Do we need a standard workflow language, instead
    of all the existing Languages (MoML, ScuFL )?
  • Do e-Science applications need industrial
    workflow standards? Are industrial workflow
    standards suitable for e-Science applications?
  • Will scientific applications need a standard?
    What should be standardized? Do they exist in
    industrial standards? Is BPEL a good candidate as
    standard workflow language?
  • Sharing and integrating e-Science resources in
    experiments. Scientific applications were and
    still are the driving force for developing the
    Grid middleware. The last few year Grid
    middleware has shifted toward service oriented
    paradigm
  • Effective exploration in scientific experiments.
    So far none of the proposed e-Science WMS has
    imposed itself as a de-facto standard for
    e-science.

7
Themes in this workshop
  • Running scientific experiments on e-Science
    environments
  • Sharing and integrating e-Science resources in
    experiments. Scientific applications were and
    still are the driving force for developing the
    Grid middleware. The last few year Grid
    middleware has shifted toward service oriented
    paradigm
  • is this shift beneficial for the driving force?
    And what would be the impact of SOA on the
    development of the e-Science WMS?
  • Do e-Science application scientists have to be
    service oriented?
  • Will industrial service development tools fit in
    the scientific development environment and meet
  • Effective exploration in scientific experiments.
    So far none of the proposed e-Science WMS has
    imposed itself as a de-facto standard for
    e-science.

8
Themes in this workshop
  • Running scientific experiments on e-Science
    environments
  • Sharing and integrating e-Science resources in
    experiments.
  • Effective exploration in scientific experiments.
    So far none of the proposed e-Science WMS has
    imposed itself as a de-facto standard for
    e-science.
  • Should we aim at one standard e-Science WMS? Or
    should we focus on making the existing WMS
    interoperate to achieve a typical e-science
    experiment?
  • Will the diversity of scientific workflow systems
    be smaller after industrial standards? Will
    interoperability issues still exist? If so, what
    will they be?
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