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» Optimal sampling from distributed streams
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SIGMOD
2005
ACM
139views Database» more  SIGMOD 2005»
14 years 8 months 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,...
SIAMJO
2008
72views more  SIAMJO 2008»
13 years 8 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 8 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
IPPS
1997
IEEE
14 years 4 days ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei
STOC
2004
ACM
118views Algorithms» more  STOC 2004»
14 years 8 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...