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» Monitoring and Prediction of Network Performance
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CLUSTER
2005
IEEE
16 years 12 days 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
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 1 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 11 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...
WINET
2010
163views more  WINET 2010»
15 years 5 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»
15 years 5 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