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» Maximizing data locality in distributed systems
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ATAL
2005
Springer
14 years 28 days ago
Simulating data dissemination techniques for local reputation systems
In distributed scenarios the robustness of a reputation mechanism depends on the data available for computation. Especially in ad-hoc networks the amount of available data is rest...
Andreas Schlosser, Marco Voss
IPPS
2003
IEEE
14 years 20 days ago
Quantifying Locality Effect in Data Access Delay: Memory logP
The application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter-node communication in a shared mem...
Kirk W. Cameron, Xian-He Sun
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 4 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
NLP
2000
13 years 11 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
POPL
2000
ACM
13 years 11 months ago
Type Systems for Distributed Data Structures
Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distincti...
Ben Liblit, Alexander Aiken