Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96732
Title: Workflow framework to support data analytics in cloud computing
Authors: Chaisiri, Sivadon
Bong, Zoebir
Lee, Chonho
Lee, Bu-Sung
Sessomboon, Punyapat
Saisillapee, Tanakrit
Achalakul, Tiranee
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
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.
URI: https://hdl.handle.net/10356/96732
http://hdl.handle.net/10220/13100
DOI: http://dx.doi.org/10.1109/CloudCom.2012.6427489
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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