Enabling generic distributed computing infrastructure compatibility for workflow management systems

• Autorzy: Kozlovszky M. , Karoczkai K. , Marton I. , Balasko A. , Marosi A. , Kacsuk P.
• Języki publikacji: EN

Abstrakty

EN

Solving workflow management system’s Distributed Computing Infrastructure (DCI) incompatibility and their workflow interoperability issues are very challenging and complex tasks. Workflow management systems (and therefore their workflows, workflow developers and also their end-users) are bounded tightly to some limited number of supported DCIs, and efforts required to allow additional DCI support. In this paper we are specifying a concept how to enable generic DCI compatibility for grid workflow management systems (such as ASKALON, MOTEUR, gUSE/WS-PGRADE, etc.) on job and indirectly on workflow level. To enable DCI compatibility among the different workflow management systems we have developed the DCI Bridge software solution. In this paper we will describe its internal architecture, provide usage scenarios to show how the developed service resolve the DCI interoperability issues between various middleware types. The generic DCI Bridge service enables the execution of jobs onto the existing major DCI platforms (such as Service Grids (Globus Toolkit 2 and 4, gLite, ARC, UNICORE), Desktop Grids, Web services, or even cloud based DCIs).

Słowa kluczowe

EN

workflow management systems; infrastructure interoperability; Distributed Computing Infrastructure; DCI; DCI Bridge

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2012
• Tom: Vol. 13 (3)
• Strony: 61--78
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Kozlovszky M.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

autor

Karoczkai K.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

autor

Marton I.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

autor

Balasko A.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

autor

Marosi A.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

autor

Kacsuk P.

• MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

Bibliografia

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