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» Monitoring and Prediction of Network Performance
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CLUSTER
2005
IEEE
15 years 6 months ago
Minimizing the Network Overhead of Checkpointing in Cycle-harvesting Cluster Environments
Cycle-harvesting systems such as Condor have been developed to make desktop machines in a local area (which are often similar to clusters in hardware configuration) available as ...
Daniel Nurmi, John Brevik, Richard Wolski
93
Voted
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 7 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
SIGMETRICS
1997
ACM
111views Hardware» more  SIGMETRICS 1997»
15 years 5 months ago
Cache Behavior of Network Protocols
In this paper we present a performance study of memory reference behavior in network protocol processing, using an Internet-based protocol stack implemented in the x-kernel runnin...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
104
Voted
WINET
2010
163views more  WINET 2010»
14 years 11 months ago
On supporting reliable QoS in multi-hop multi-rate mobile ad hoc networks
Due to complicated situations such as node/link interference and traffic load, quality of service support in multi-hop multi-rate ad hoc networks remains a challenging issue. Furt...
Ming Li, B. Prabhakaran
TJS
2010
182views more  TJS 2010»
14 years 11 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari