Identifying the Challenges for Optimizing the Process to Achieve Reproducible Results in E-science Applications

Huq, Mohammad R. and Wombacher, Andreas and Apers, Peter M.G. (2010) Identifying the Challenges for Optimizing the Process to Achieve Reproducible Results in E-science Applications. In: 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM 2010, 30 Oct 2010, Toronto, Canada.

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Abstract:	One of the major requirements for e-science applications handling sensor data, is reproducibility of results. Several optimization and scalability problems exist where the reproducibility of results remains guaranteed. Firstly, various data streams need to be coordinated to optimize the accuracy and processing of the results. Secondly, because of the high volume of streaming data and a series of processing steps to be performed on that data, demand for disk space may grow unacceptably high. Lastly, reproducibility in a decentralized scenario may be difficult to achieve because of data replication. This paper introduces and addresses these challenges which arise for optimizing the process of achieving reproducibility of results.
Item Type:	Conference or Workshop Item
Copyright:	© 2010 ACM
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB)
Link to this item:	http://purl.utwente.nl/publications/75365
Official URL:	http://doi.acm.org/10.1145/1871902.1871916
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