| Distributed operation in the Borealis stream processing engine |
| Full text |
Pdf
(328 KB)
|
| 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 |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 6, Downloads (12 Months): 46, Citation Count: 4
|
|
|
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.
 |
1
|
Arvind Arasu , Brian Babcock , Shivnath Babu , Mayur Datar , Keith Ito , Itaru Nishizawa , Justin Rosenstein , Jennifer Widom, STREAM: the stanford stream data manager (demonstration description), Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California
[doi> 10.1145/872757.872854]
|
| |
2
|
A. Arasu et. al. Linear Road: A Stream Data Management Benchmark. In VLDB Conference, August 2004.
|
| |
3
|
A. Arasu, S. Babu, and J. Widom. CQL: A Language for Continuous Queries Over Streams and Relations. In DBPL Workshop, September 2003.
|
| |
4
|
Cube. http://www.cubeengine.com.
|
 |
5
|
D. Abadi , D. Carney , U. Çetintemel , M. Cherniack , C. Convey , C. Erwin , E. Galvez , M. Hatoun , A. Maskey , A. Rasin , A. Singer , M. Stonebraker , N. Tatbul , Y. Xing , R. Yan , S. Zdonik, Aurora: a data stream management system, Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California
[doi> 10.1145/872757.872855]
|
| |
6
|
D. Abadi et. al. The Design of the Borealis Stream Processing Engine. In CIDR Conference, January 2005.
|
| |
7
|
D. Carney et. al. Operator Scheduling in a Data Stream Manager. In VLDB Conference, September 2003.
|
| |
8
|
Jeong-Hyon Hwang , Magdalena Balazinska , Alexander Rasin , Ugur Cetintemel , Michael Stonebraker , Stan Zdonik, High-Availability Algorithms for Distributed Stream Processing, Proceedings of the 21st International Conference on Data Engineering (ICDE'05), p.779-790, April 05-08, 2005
[doi> 10.1109/ICDE.2005.72]
|
| |
9
|
N. Tatbul et. al. Load Shedding in a Data Stream Manager. In VLDB Conference, September 2003.
|
 |
10
|
Sirish Chandrasekaran , Owen Cooper , Amol Deshpande , Michael J. Franklin , Joseph M. Hellerstein , Wei Hong , Sailesh Krishnamurthy , Samuel R. Madden , Fred Reiss , Mehul A. Shah, TelegraphCQ: continuous dataflow processing, Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California
[doi> 10.1145/872757.872857]
|
| |
11
|
N. Tatbul and S. Zdonik. Window-aware Load Shedding for Data Streams. Technical Report CS-04-13, Brown University, Computer Science, November 2004.
|
| |
12
|
|
| |
13
|
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.
|
|