Strategies for Development of a Distributed Framework for Computational Sciences
Vladimir Berezovsky, Alexander Popov
TL;DR
This paper proposes strategies for developing a grid-based distributed framework to facilitate workflows in computational sciences, emphasizing interoperability and graphical workflow description tools.
Contribution
It introduces a UML-based graphical approach for describing workflows and discusses strategies for enabling software interoperability in grid environments.
Findings
Identified key requirements for grid-based computational frameworks.
Proposed UML-based tools for workflow visualization.
Outlined strategies for software interoperability in distributed systems.
Abstract
This paper discusses some generic approach for developing grid-based framework for enabling establishment of workflows comprising existing software in computational sciences areas. We highlight the main requirements addressed the developing of such framework. Some strategies for enabling interoperability between convenient computation software in the grid environment has been shown. The UML based instruments of graphical description of workflows for the developing system has been suggested.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Scientific Computing and Data Management · Parallel Computing and Optimization Techniques