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Load Management and High Availability in the Borealis Distributed Stream Processing Engine

  • Nesime Tatbul
  • Yanif Ahmad
  • Uğur Çetintemel
  • Jeong-Hyon Hwang
  • Ying Xing
  • Stan Zdonik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4540)

Abstract

Borealis is a distributed stream processing engine that has been developed at Brandeis University, Brown University, and MIT. It extends the first generation of data stream processing systems with advanced capabilities such as distributed operation, scalability with time-varying load, high availability against failures, and dynamic data and query modifications. In this paper, we focus on aspects that are related to load management and high availability in Borealis. We describe our algorithms for balanced and resilient load distribution, scalable distributed load shedding, and cooperative and self-configuring high availability. We also present experimental results from our prototype implementation showing the effectiveness of these algorithms.

Keywords

Stream Processing Load Management Query Processor Backup Server Infeasible Point 
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 2008

Authors and Affiliations

  • Nesime Tatbul
    • 1
  • Yanif Ahmad
    • 2
  • Uğur Çetintemel
    • 2
  • Jeong-Hyon Hwang
    • 2
  • Ying Xing
    • 2
  • Stan Zdonik
    • 2
  1. 1.Department of Computer ScienceETH ZürichZürichSwitzerland
  2. 2.Department of Computer ScienceBrown UniversityProvidenceUSA

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