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AOIS
2004
13 years 8 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
IPCCC
1999
IEEE
13 years 11 months ago
Measurement, analysis and performance improvement of the Apache Web server
Performance of Web servers is critical to the success of many corporations and organizations. However, very few results have been published that quantitatively study the server be...
Yiming Hu, Ashwini K. Nanda, Qing Yang
ICIA
2007
13 years 9 months ago
VizScript: Visualizing Complex Interactions in Multi-Agent Systems
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...
IMC
2003
ACM
14 years 7 days ago
A measurement study of available bandwidth estimation tools
Available bandwidth estimation is useful for route selection in overlay networks, QoS verification, and traffic engineering. Recent years have seen a surge in interest in availab...
Jacob Strauss, Dina Katabi, M. Frans Kaashoek
CMG
2003
13 years 8 months ago
{Performance Modeling and Evaluation of Large-Scale J2EE Applications
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Samuel Kounev, Alejandro P. Buchmann