DSEM-SW: a data-service enhanced scientific workflow middleware for cloud computing

Kun Huang and Ning Han

International Journal of Networking and Virtual Organisations, 2021, vol. 24, issue 2, 126-143

Abstract: As more and more scientific workflows have been deployed and executed in cloud environments, how to optimise the execution efficiency and quality of workflow applications has become an important issue that needs to be addressed. Although many workflow management systems have been proposed in recent years, the performance bottleneck when running scientific workflows is still the low-efficiency of data-related services. In this paper, we present a workflow-oriented optimisation plug-in system, namely data-service enhanced middleware for scientific workflow (DSEM-SW), which provides a set of mechanisms to improve the efficiency and quality of data processing when running scientific workflows. Extensive experiments are conducted to evaluate the performance of the proposed middleware in a real-world cloud test-bed. The experimental results indicate that our DSEM-SW outperforms many existing systems in terms of different performance metrics, and can significantly improve the execution efficiency of data-intensive workflows.

Keywords: workflow; cloud computing; resource virtualisation; quality of data; QoD. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=114729 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:24:y:2021:i:2:p:126-143

Access Statistics for this article

More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().