Scalable Access to Scientific Data

  • Authors:
  • Daniel A. Menasce

  • Affiliations:
  • George Mason University

  • Venue:
  • IEEE Internet Computing
  • Year:
  • 2005

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Abstract

The author uses a simple analytic model to analyze the scalability of an infrastructure that generates high-level data products derived from raw data and then delivers them in response to user requests. He also discusses the concept of metadata and how it generally facilitates access to scientific data.