Mitch Cherniack, Hari Balakrishnan, Magdalena Balazinska, Donald Carney, Ugur Cetintemel, Ying Xing, Stan Zdonik
CIDR 2003 - First Biennial Conference on Innovative Data Systems Research, Asilomar, CA, January 2003
Stream processing fits a large class of new applications for which
conventional DBMSs fall short. Because many stream-oriented systems
are inherently geographically distributed and because distribution
offers scalable load management and higher availability, future
stream processing systems will operate in a distributed fashion. They
will run across the Internet on computers typically owned by multiple
cooperating administrative domains. This paper describes the architectural
challenges facing the design of large-scale distributed stream processing
systems, and discusses novel approaches for addressing load management,
high availability, and federated operation issues. We describe
two stream processing systems, Aurora* and Medusa, which are being designed
to explore complementary solutions to these challenges.
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Bibtex Entry:
@inproceedings{cherniack2003scalable, author = "Mitch Cherniack and Hari Balakrishnan and Magdalena Balazinska and Donald Carney and Ugur Cetintemel and Ying Xing and Stan Zdonik", title = "{Scalable Distributed Stream Processing}", booktitle = {CIDR 2003 - First Biennial Conference on Innovative Data Systems Research}, year = {2003}, month = {January}, address = {Asilomar, CA} }