articleJan 1, 2002Closed access

Models and issues in data stream systems

Stanford University

Indexed incrossref

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.

Citation impact

745
total citations
FWCI
26.00
Percentile
100%
References
0
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Data stream mining
  • Query language
  • Stream processing
  • Data stream
  • Data science
  • Data modeling
  • Streaming data
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