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» Approximation Algorithms for k-hurdle Problems
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PDPTA
2007
15 years 6 months ago
Brokering Algorithms for Composing Low Cost Distributed Storage Resources
Abstract In this paper we investigate the composition of cheap network storage resources to meet specific availability and capacity requirements. We show that the problem of find...
Jimmy Secretan, Malachi Lawson, Ladislau Böl&...
143
Voted
CORR
2010
Springer
81views Education» more  CORR 2010»
14 years 12 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
177
Voted
HSNMC
2003
Springer
102views Multimedia» more  HSNMC 2003»
15 years 10 months ago
A RTT-based Partitioning Algorithm for a Multi-rate Reliable Multicast Protocol
Various Internet applications involve multiple parties and usually adopt a one-to-many communication paradigm (multicast). The presence of multiple receivers in a multicast session...
Moufida Maimour, CongDuc Pham
155
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CATS
2006
15 years 6 months ago
Graph Orientation Algorithms to Minimize the Maximum Outdegree
We study the problem of orienting the edges of a weighted graph such that the maximum weighted outdegree of vertices is minimized. This problem, which has applications in the guar...
Yuichi Asahiro, Eiji Miyano, Hirotaka Ono, Kouhei ...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 2 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...