Task scheduling characterisation in enterprise application integration
| Autor: | Daniela L. Freire, Fabricia Roos-Frantz, Vitor Basto-Fernandes, Rafael Z. Frantz |
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| Rok vydání: | 2021 |
| Předmět: |
Job shop scheduling
Workflow scheduling Computer science Business process business.industry media_common.quotation_subject Scheduling (production processes) Ciências Naturais::Ciências da Computação e da Informação [Domínio/Área Científica] Engenharia e Tecnologia::Engenharia Eletrotécnica Eletrónica e Informática [Domínio/Área Científica] Cloud computing Integration application Integration platform Step-wise multiple linear regression Industrial engineering Theoretical Computer Science Task (project management) Dynamic task scheduling Ranking Hardware and Architecture Enterprise application integration Function (engineering) business Software Information Systems media_common |
| Zdroj: | The Journal of Supercomputing. 78:6528-6566 |
| ISSN: | 1573-0484 0920-8542 |
| DOI: | 10.1007/s11227-021-04119-2 |
| Popis: | Cloud computing allows enterprises to incorporate applications and computational resources as services, and thus, enterprises can concentrate on their business processes, without concerning the development, configuration and maintenance of these applications and resources. Integration platforms are one of these services that allow enterprises to integrate applications in order to reduce the maintenance costs and operations of the integration of on-premises platforms. However, high performance on resources offered by the cloud, demands improvement in task scheduling of integration platforms. Our literature review has identified a lack of studies in the field of enterprise application integration, focusing on specificities and vulnerabilities of the task scheduling of integration processes. This is a pioneer work regarding the characterisation of the scheduling of tasks of integration processes. We propose a ranking according to their conceptual models and apply this ranking to five integration processes. Then, we have statistically analysed the influence of each component of their conceptual models on the performance of the execution of these integration processes. We characterise the task scheduling of integration processes and presented a mathematical equation for the makespan as a function of the components of this characterisation. This study can guide software engineers in the optimal task scheduling for integration processes, which can improve the performance runtime systems regarding using the computational resources and result in minimisation of costs of companies. info:eu-repo/semantics/acceptedVersion |
| Databáze: | OpenAIRE |
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