The Anatomy of a Stream Processing System

  • Altaf Gilani
  • Satyajeet Sonune
  • Balakumar Kendai
  • Sharma Chakravarthy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4042)


Data intensive applications such as network monitoring, financial applications; sensor-based applications etc. need to be supported by general-purpose systems rather than customized implementations. They have a continuous, unpredictable and unbounded flow of data as input, referred as streams. The fact that data comes as a stream with varying input rates (instead of accessing data stored on a disk in a predictable way) and that quality of service (QoS) requirements are stringent for these applications warrants a re-examination of the fundamental architecture of a DBMS. This paper describes the basic processing model and architecture of MavStream – a new Data Stream Management System (DSMS) being developed at UT Arlington. The architecture of MavStream is the primary focus of this paper. The user can give a continuous query from a graphical user interface (GUI), which is instantiated, scheduled, and executed by the MavStream server. We first provide an overview of the basic model and architecture and then describe some of the components of the system. We provide some experimental results to demonstrate the utility of the system and the effect of different scheduling strategies and buffer sizes on the performance and output.


Query Processing Schedule Strategy Buffer Size Input Buffer Buffer Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Altaf Gilani
    • 1
  • Satyajeet Sonune
    • 1
  • Balakumar Kendai
    • 1
  • Sharma Chakravarthy
    • 1
  1. 1.Information Technology Laboratory, and Department of Computer Science and EngineeringThe University of Texas at Arlington 

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