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77
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ICDCS
2009
IEEE
15 years 9 months ago
Minimizing Latency in Fault-Tolerant Distributed Stream Processing Systems
Andrey Brito, Christof Fetzer, Pascal Felber
SIGMOD
2005
ACM
139views Database» more  SIGMOD 2005»
16 years 9 days ago
Distributed operation in the Borealis stream processing engine
Borealis is a distributed stream processing engine that is being developed at Brandeis University, Brown University, and MIT. Borealis inherits core stream processing functionalit...
Yanif Ahmad, Bradley Berg, Ugur Çetintemel,...
SIGMOD
2004
ACM
172views Database» more  SIGMOD 2004»
16 years 9 days ago
Load Management and High Availability in the Medusa Distributed Stream Processing System
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 an...
Magdalena Balazinska, Hari Balakrishnan, Michael S...
SIGMOD
2005
ACM
141views Database» more  SIGMOD 2005»
16 years 9 days ago
Fault-tolerance in the Borealis distributed stream processing system
We present a replication-based approach to fault-tolerant distributed stream processing in the face of node failures, network failures, and network partitions. Our approach aims t...
Magdalena Balazinska, Hari Balakrishnan, Samuel Ma...
182
Voted
ICDE
2005
IEEE
144views Database» more  ICDE 2005»
16 years 1 months ago
Dynamic Load Distribution in the Borealis Stream Processor
Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process more data at highe...
Ying Xing, Stanley B. Zdonik, Jeong-Hyon Hwang