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Higher-Accuracy for Identifying Frequent Items over Real-Time Packet Streams

  • Ling Wang
  • Yang Koo Lee
  • Keun Ho Ryu
Part of the Communications in Computer and Information Science book series (CCIS, volume 15)

Abstract

In this paper, we classified the synopses data structure into two major types, the Equal Synopses and Unequal Synopses. Usually, a Top-k query is always processed over equal synopses, but Top-k query is very difficult to implement over unequal synopses because of resulting inaccurate approximate answers. Therefore, we present a Dynamic Synopsis which is developed by DSW (Dynamic Sub-Window) algorithm to support the processing of Top-k aggregate queries over unequal synopses and guarantee the accuracy of the approximation results. Our experiment results show that using Dynamic Synopses have significant performance benefits of improving the accuracy of approximation answers on real time traffic analyses over packet streaming networks.

Keywords

sliding window Top-k frequent items dynamic synopses 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ling Wang
    • 1
  • Yang Koo Lee
    • 1
  • Keun Ho Ryu
    • 1
  1. 1.Database/Bioinformatics Laboratory, School of Electrical & Computer EngineeringChungbuk National UniversityChungbukKorea

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