Research on queuing model of self-similar network based on hyper-erlang distribution
Tao Lin · Computer Engineering and Applications Journal · 2012
Research on network measurement has shown the presence of self-similar properties in great number of network traces,but how to build self-similar queuing model and analyze it has been a problem.On the basis of hyper-erlang fitting method,M/HErd/1/K queuing model with passion arrive rate and hyper-erlang service time is proposed,and the queuing performance of the self-similar network service is derived.Compared with traditional M/M/1/K queuing model under real trace,new model effectively describes not only the quick-hang traffic attribute,but also the potential risk under heavy traffic load.So the proposed model is better,and it is instructive to the network operation and maintenance.