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Velo: riding the knowledge management wave for simulation and modeling

Published: 28 May 2011 Publication History

Abstract

Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and additional simulations. Further, these results must be managed and archived to provide justifications for regulatory decisions and publications that are based on these models. In this paper we introduce our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates, and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. We describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate a realization of Velo, we describe the Geologic Sequestration Software Suite (GS3) that has been developed to support geologic sequestration modeling. This provides a concrete example of the inherent extensibility and utility of our approach.

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  • (2014)Reveal: An Extensible Reduced-Order Model Builder for Simulation and ModelingComputing in Science & Engineering10.1109/MCSE.2013.4616:2(44-53)Online publication date: Mar-2014
  • (2012)Data management requirements for a knowledge discovery platformProceedings of the WICSA/ECSA 2012 Companion Volume10.1145/2361999.2362036(169-172)Online publication date: 20-Aug-2012
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cover image ACM Conferences
SECSE '11: Proceedings of the 4th International Workshop on Software Engineering for Computational Science and Engineering
May 2011
64 pages
ISBN:9781450305983
DOI:10.1145/1985782
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 28 May 2011

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Author Tags

  1. content management
  2. knowledge management
  3. scientific modeling
  4. simulation
  5. wiki

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ICSE11
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ICSE11: International Conference on Software Engineering
May 28, 2011
HI, Waikiki, Honolulu, USA

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Cited By

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  • (2014)A high-performance workflow system for subsurface simulationEnvironmental Modelling & Software10.5555/2772072.277215255:C(176-189)Online publication date: 1-May-2014
  • (2014)Reveal: An Extensible Reduced-Order Model Builder for Simulation and ModelingComputing in Science & Engineering10.1109/MCSE.2013.4616:2(44-53)Online publication date: Mar-2014
  • (2012)Data management requirements for a knowledge discovery platformProceedings of the WICSA/ECSA 2012 Companion Volume10.1145/2361999.2362036(169-172)Online publication date: 20-Aug-2012
  • (2012)Developing Social Networks Mashups: An Overview of REST-Based APIsProcedia Technology10.1016/j.protcy.2012.03.0223(205-213)Online publication date: 2012
  • (2011)Challenges in Data Intensive Analysis at Scientific Experimental User FacilitiesHandbook of Data Intensive Computing10.1007/978-1-4614-1415-5_10(249-284)Online publication date: 11-Nov-2011

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