Distributed operation in the Borealis stream processing engine

  • Authors:

  • Yanif Ahmad;Bradley Berg;Uǧur Cetintemel;Mark Humphrey;Jeong-Hyon Hwang;Anjali Jhingran;Anurag Maskey;Olga Papaemmanouil;Alexander Rasin;Nesime Tatbul;Wenjuan Xing;Ying Xing;Stan Zdonik

  • Affiliations:

  • Brown University, Providence, RI.;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brandeis University, Waltham, MA;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI;Brown University, Providence, RI

  • Venue:
  • Proceedings of the 2005 ACM SIGMOD international conference on Management of data
  • Year:
  • 2005

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Abstract

Borealis is a distributed stream processing engine that is being developed at Brandeis University, Brown University, and MIT. Borealis inherits core stream processing functionality from Aurora and inter-node communication functionality from Medusa.We propose to demonstrate some of the key aspects of distributed operation in Borealis, using a multi-player network game as the underlying application. The demonstration will illustrate the dynamic resource management, query optimization and high availability mechanisms employed by Borealis, using visual performance-monitoring tools as well as the gaming experience.