Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Exploiting Reality with Multicast Groups
IEEE Computer Graphics and Applications
Experiences with predicting resource performance on-line in computational grid settings
ACM SIGMETRICS Performance Evaluation Review
Soft-computing techniques applied to short-term traffic flow forecasting
Systems Analysis Modelling Simulation
A Neural Network Approach for Dynamic Load Balancing In Homogeneous Distributed Systems
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Software Technology and Architecture - Volume 1
An ensemble of neural networks for weather forecasting
Neural Computing and Applications
International Journal of Advanced Media and Communication
Monitoring and fault tolerance for real-time online interactive applications
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Network Load Predictions Based on Big Data and the Utilization of Self-Organizing Maps
Journal of Network and Systems Management
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We propose a neural network-based prediction method for the future entity layout in massively multiplayer online games. Our service has the potential to timely foresee critical hot-spots in fast-paced First Person Shooter action games that saturate the game servers which no longer respond to user actions at the required rate. Using our service, proactive load balancing (and redistribution) actions can be triggered.We show results based on a realistic simulation environment that demonstrate the advantages of our method compared to other conventional ones, especially due to its ability to adapt to different load patterns.