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IPPS
2009
IEEE
13 years 11 months ago
Elastic scaling of data parallel operators in stream processing
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...
EDBT
2012
ACM
266views Database» more  EDBT 2012»
11 years 7 months ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...
SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
14 years 5 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
IPPS
2007
IEEE
13 years 11 months ago
Storage Optimization for Large-Scale Distributed Stream Processing Systems
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...
USENIX
2008
13 years 7 months ago
A Comparative Experimental Study of Parallel File Systems for Large-Scale Data Processing
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Zoe Sebepou, Kostas Magoutis, Manolis Marazakis, A...