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» A Case for Aggregate Networks
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VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 3 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
16 years 3 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 10 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
IPPS
2007
IEEE
15 years 10 months ago
Implementing OLAP Query Fragment Aggregation and Recombination for the OLAP Enabled Grid
In this paper we propose a new query processing method for the OLAP Enabled Grid, which blends sophisticated cache extraction techniques and data grid scheduling to efficiently s...
Michael Lawrence, Frank K. H. A. Dehne, Andrew Rau...
IPPS
2007
IEEE
15 years 10 months ago
Distributed Aggregation Algorithms with Load-Balancing for Scalable Grid Resource Monitoring
1 Scalable resource monitoring and discovery are essential to the planet-scale infrastructures such as Grids and PlanetLab. This paper proposes a scalable Grid monitoring architect...
Min Cai, Kai Hwang