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Distributed operation in the Borealis stream processing engine
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Source International Conference on Management of Data archive
Proceedings of the 2005 ACM SIGMOD international conference on Management of data table of contents
Baltimore, Maryland
SESSION: Demonstrations: Group 1 table of contents
Pages: 882 - 884  
Year of Publication: 2005
ISBN:1-59593-060-4
Authors
Yanif Ahmad  Brown University, Providence, RI.
Bradley Berg  Brown University, Providence, RI
Uǧur Cetintemel  Brown University, Providence, RI
Mark Humphrey  Brown University, Providence, RI
Jeong-Hyon Hwang  Brown University, Providence, RI
Anjali Jhingran  Brown University, Providence, RI
Anurag Maskey  Brandeis University, Waltham, MA
Olga Papaemmanouil  Brown University, Providence, RI
Alexander Rasin  Brown University, Providence, RI
Nesime Tatbul  Brown University, Providence, RI
Wenjuan Xing  Brown University, Providence, RI
Ying Xing  Brown University, Providence, RI
Stan Zdonik  Brown University, Providence, RI
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A. Arasu et. al. Linear Road: A Stream Data Management Benchmark. In VLDB Conference, August 2004.
 
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A. Arasu, S. Babu, and J. Widom. CQL: A Language for Continuous Queries Over Streams and Relations. In DBPL Workshop, September 2003.
 
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Cube. http://www.cubeengine.com.
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D. Abadi et. al. The Design of the Borealis Stream Processing Engine. In CIDR Conference, January 2005.
 
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D. Carney et. al. Operator Scheduling in a Data Stream Manager. In VLDB Conference, September 2003.
 
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N. Tatbul et. al. Load Shedding in a Data Stream Manager. In VLDB Conference, September 2003.
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N. Tatbul and S. Zdonik. Window-aware Load Shedding for Data Streams. Technical Report CS-04-13, Brown University, Computer Science, November 2004.
 
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S. Zdonik, M. Stonebraker, M. Cherniack, U. Çetintemel, M. Balazinska, and H. Balakrishnan. The Aurora and Medusa Projects. IEEE Data Engineering Bulletin, 26(1), March 2003.

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