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ABSTRACT
Medusa [3, 6] is a distributed stream processing system based on the Aurora single-site stream processing engine [1]. We demonstrate how Medusa handles time-varying load spikes and provides high availability in the face of network partitions. We demonstrate Medusa in the context of Borealis, a second generation stream processing engine based on Aurora and Medusa.
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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Brian Babcock , Shivnath Babu , Mayur Datar , Rajeev Motwani , Jennifer Widom, Models and issues in data stream systems, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 03-05, 2002, Madison, Wisconsin
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Michael Stonebraker , Paul M. Aoki , Witold Litwin , Avi Pfeffer , Adam Sah , Jeff Sidell , Carl Staelin , Andrew Yu, Mariposa: a wide-area distributed database system, The VLDB Journal — The International Journal on Very Large Data Bases, v.5 n.1, p.048-063, January 1996
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