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» Load estimation and control using learned dynamics models
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PPAM
2007
Springer
14 years 1 months ago
A Grid-Enabled Lattice-Boltzmann-Based Modelling System
Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Gr...
Gérard Dethier, Cyril Briquet, Pierre March...
ICC
2009
IEEE
154views Communications» more  ICC 2009»
14 years 2 months ago
Load Balancing vs. Distributed Rate Limiting: An Unifying Framework for Cloud Control
— With the expansion of cloud-based services, the question as to how to control usage of such large distributed systems has become increasingly important. Load balancing (LB), an...
Rade Stanojevic, Robert Shorten
CN
2004
109views more  CN 2004»
13 years 7 months ago
QoS-aware radio resource management scheme for CDMA cellular networks based on dynamic interference guard margin (IGM)
Efficient radio resource management (RRM) for CDMA-based cellular communication systems using the interference guard margin (IGM) scheme is investigated in this work. Two importan...
Huan Chen, Sunil Kumar, C. C. Jay Kuo
ICDE
2012
IEEE
216views Database» more  ICDE 2012»
11 years 10 months ago
Load Balancing in MapReduce Based on Scalable Cardinality Estimates
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...
IJRR
2002
86views more  IJRR 2002»
13 years 7 months ago
An Experimental Robot Load Identification Method for Industrial Application
Abstract. This paper discusses a new experimental robot load identification method that is used in industry. The method is based on periodic robot excitation and the maximum likeli...
Jan Swevers, Walter Verdonck, Birgit Naumer, Stefa...