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EDBT
2008
ACM
138views Database» more  EDBT 2008»
13 years 6 months ago
Potential-driven load distribution for distributed data stream processing
A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these app...
Weihan Wang, Mohamed A. Sharaf, Shimin Guo, M. Tam...
VLDB
2007
ACM
169views Database» more  VLDB 2007»
14 years 4 months ago
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
Nesime Tatbul, Stanley B. Zdonik, Ugur Çeti...
ICDE
2005
IEEE
144views Database» more  ICDE 2005»
14 years 6 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
DSN
2008
IEEE
13 years 11 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
SIGMOD
2004
ACM
172views Database» more  SIGMOD 2004»
14 years 4 months 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...