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- Östberg, Per-Olov, et al.
(författare)
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Abstractions for scaling escience applications to distributed computing environments : a StratUm Integration Case Study in Molecular Systems Biology
- 2012
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Ingår i: Bioinformatics. - SETUBAL : SCITEPRESS. - 9789898425904 ; , s. 290-294
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Management of eScience computations and resulting data in distributed computing environments is complicated and often introduces considerable overhead. In this work we address a lack of integration tools that provide the abstraction levels, performance, and usability required to facilitate migration of eScience applications to distributed computing environments, In particular, we explore an approach to raising abstraction levels based on separation of computation design computation management and present StratUm, a computation enactment tool for distributed computing environments. Results are illustrated in a case study of integration of a software from the systems biology community with a grid computation management system.
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- Östberg, Per-Olov, 1973-, et al.
(författare)
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Reducing Complexity in Management of eScience Computation
- 2012
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Ingår i: CCGrid 2012. - Los Alamitos, CA : IEEE. - 9781467313957 - 9780769546919 ; , s. 845-852
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Konferensbidrag (refereegranskat)abstract
- In this paper we address reduction of complexity in management of scientific computations in distributed computing environments. We explore an approach based on separation of computation design (application development) and distributed execution of computations, and investigate best practices for construction of virtual infrastructures for computational science - software systems that abstract and virtualize the processes of managing scientific computations on heterogeneous distributed resource systems. As a result we present StratUm, a toolkit for management of eScience computations. To illustrate use of the toolkit, we present it in the context of a case study where we extend the capabilities of an existing kinetic Monte Carlo software framework to utilize distributed computational resources. The case study illustrates a viable design pattern for construction of virtual infrastructures for distributed scientific computing. The resulting infrastructure is evaluated using a computational experiment from molecular systems biology.
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