Workflow framework to support data analytics in cloud computing

Conference proceedings article

Authors/Editors

TIRANEE ACHALAKUL

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Publication Details

Author list: Chaisiri S., Bong Z., Lee C., Lee B.-S., Sessomboon P., Saisillapee T., Achalakul T.

Publisher: Hindawi

Publication year: 2012

Start page: 610

End page: 613

Number of pages: 4

ISBN: 9781467345095

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874262834&doi=10.1109%2fCloudCom.2012.6427489&partnerID=40&md5=3e60fe6068dea7a157bef2ffa1dc2c49

Languages: English-Great Britain (EN-GB)

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Abstract

This paper reports on the development of the Cloud Oriented Data Analytics (CODA) framework which has functions for composing, managing, and processing workflows for data analytics in cloud computing. The framework provides a number of reusable software components for data analytics to users which can be composed as workflows through well-known workflow composers, e.g., RapidMiner, Taverna, and JOpera. In particular, workflow scheduling, workflow recommendation, resource provisioning, resource monitoring, data locality, and security for the workflow computation are addressed by the framework. By using the framework, we demonstrate that workflows can be easily composed and processed in cloud computing. By coordinating the submitted workflows, we can obtain a significant improvement in performance. ฉ 2012 IEEE.

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