Three new approaches for adjustment and improvement of the RR scheduler in a dynamic resource environment.
John TsiligaridisRaj AcharyaPublished in: Comput. Commun. (2005)
Keyphrases
- strengths and weaknesses
- real time
- significant improvement
- alternative approaches
- response time
- relational databases
- case study
- reinforcement learning
- information technology
- bayesian networks
- hidden markov models
- decision trees
- dynamic environments
- load balancing
- test bed
- image processing
- categorical data
- indoor environments
- neural network