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» Distributed Approximation Algorithm for Resource Clustering
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PDPTA
2004
13 years 8 months ago
An Evaluation of Distributed Scheduling Algorithms Within the DESPOT Architecture
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Daniel Andresen, Jeffrey Lebak, Ethan Bowker
FUIN
2010
143views more  FUIN 2010»
13 years 4 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
SPLC
2008
13 years 8 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt
ICPR
2008
IEEE
14 years 8 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
JUCS
2006
95views more  JUCS 2006»
13 years 7 months ago
POCA : A User Distributions Algorithm in Enterprise Systems with Clustering
Abstract: As enterprises worldwide race to improve real-time management to improve productivity, customer services and flexibility, huge resources have been invested into enterpris...
Ping-Yu Hsu, Ping-Ho Ting