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TWC
2010
14 years 6 months ago
Optimized opportunistic multicast scheduling (OMS) over wireless cellular networks
Optimized opportunistic multicast scheduling (OMS) is studied for cellular networks, where the problem of efficiently transmitting a common set of fountain-encoded data from a sin...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
14 years 10 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
NETWORK
2008
119views more  NETWORK 2008»
14 years 11 months ago
Improving the Performance of Route Control Middleboxes in a Competitive Environment
Multihomed subscribers are increasingly adopting intelligent route control solutions to optimize the cost and end-to-end performance of the traffic routed among the different link...
Marcelo Yannuzzi, Xavier Masip-Bruin, Eva Mar&iacu...
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
15 years 5 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
KES
1999
Springer
15 years 4 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli