Home // DBKDA 2013, The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Lena Strömbäck
Kean Foster
Jörgen Rosberg
Keywords: workflow systems; climate studies; hydrology; data management; quality insurance; DBS tailoring tool; provenance
Abstract:
Climate effect studies are currently of high interest to predict the impact of a changing climate. The results of such studies are used by decision makers as a basis for planning how to mitigate and adapt to the effects of expected climate changes. However, these studies require heavy computations on large sets of data in several steps. This combination of heavy computation and results being basis for important decisions makes it extremely important to have an efficient and well documented process for computations, to provide accurate results in an efficient way. In this paper we describe the problem and present our DBS (Distribution Based Scaling) tailoring tool that has been implemented to support the process. We discuss the problem and our solution in relation to scientific workflow systems and provenance engines in general.
Pages: 198 to 203
Copyright: Copyright (c) The Government of Sweden, 2013. Used by permission to IARIA.
Publication date: January 27, 2013
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-247-9
Location: Seville, Spain
Dates: from January 27, 2013 to February 1, 2013