Models and issues in data stream systems

  • Authors:
  • Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani;Jennifer Widom

  • Affiliations:
  • Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA

  • Venue:
  • Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
  • Year:
  • 2002

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Abstract

In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams. In addition to reviewing past work relevant to data stream systems and current projects in the area, the paper explores topics in stream query languages, new requirements and challenges in query processing, and algorithmic issues.