Framework for Development and Execution of Scientific WorkFlows: Designing Service-Oriented Applications

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Udgivet i:Programming and Computer Software vol. 50, no. 8 (Dec 2024), p. 900
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Springer Nature B.V.
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024 7 |a 10.1134/S0361768824700828  |2 doi 
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045 2 |b d20241201  |b d20241231 
245 1 |a Framework for Development and Execution of Scientific WorkFlows: Designing Service-Oriented Applications 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a The development and use of scientific applications have become an integral part of conducting large-scale experiments in various fields of research that require high-performance computing and big data processing. In the context of developing such applications, non-trivial problems arise in the concerted description and further use of schemes, software, and computational resources to solve subject domain problems of a specific application. Research productivity has become highly dependent on the degree of automation in the preparation and execution of experiments in a computing environment whose resources may be distributed and heterogeneous. Many approaches to the experiment automation are based on workflows as a structure for formalizing and specifying data processing and high-performance computing using distributed applications. Within such approaches, developers and end-users work with workflow management systems for the collaborative development and use of distributed scientific applications. Nowadays, service-oriented applications are coming to the fore. However, there is a wide range spectrum of problems related to the support of modular scientific applications, the standardization of their components and interfaces, the use of heterogeneous information and computing resources, and organization of interdisciplinary research within service-oriented architecture. Known workflow management systems do not fully address the above problems. In this regards, we consider relevant aspects of organizing service-oriented computing in a heterogeneous distributed computing environment. We propose a new framework for creating service-oriented and workflow-based scientific applications. The paper shows that the proposed framework significantly extends and complements the capabilities of systems for such purposes. We also demonstrate the reduction in labour costs associated with the preparation and execution of experiments. 
653 |a Software 
653 |a Data processing 
653 |a Big Data 
653 |a Protocol 
653 |a Automation 
653 |a Service oriented architecture 
653 |a Workflow software 
653 |a Modular structures 
653 |a Extensible Markup Language 
653 |a Internet service providers 
653 |a Cloud computing 
653 |a Interdisciplinary studies 
653 |a Distributed processing 
653 |a Workflow management systems 
653 |a Interdisciplinary research 
653 |a Research & development--R&D 
653 |a Economic 
773 0 |t Programming and Computer Software  |g vol. 50, no. 8 (Dec 2024), p. 900 
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