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» Hardening Functions for Large Scale Distributed Computations
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ICPP
2000
IEEE
15 years 8 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
TVCG
2012
210views Hardware» more  TVCG 2012»
13 years 6 months ago
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
Hanqi Guo, He Xiao, Xiaoru Yuan
CISS
2007
IEEE
15 years 10 months ago
Sensor Location through Linear Programming with Arrival Angle Constraints
Abstract— In previous work, we established a linear programming framework to determine sensor location from measured link distances between neighboring nodes in a network. Beside...
Camillo Gentile, John Shiu
MIDDLEWARE
2007
Springer
15 years 10 months ago
A multi-commodity flow approach to maximising utility in linked market-based grids
In this paper we consider the problem of maximising utility in linked market-driven distributed and Grid systems. In such systems, users submit jobs through brokers who can virtua...
James Broberg, Rajkumar Buyya
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
14 years 7 months ago
Power management of online data-intensive services
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads ...
David Meisner, Christopher M. Sadler, Luiz Andr&ea...