Titlebook: Analytical and Stochastic Modelling Techniques and Applications; 22nd International C Marco Gribaudo,Daniele Manini,Anne Remke Conference p

Buren

書目名稱Analytical and Stochastic Modelling Techniques and Applications影響因子(影響力)




書目名稱Analytical and Stochastic Modelling Techniques and Applications影響因子(影響力)學科排名




書目名稱Analytical and Stochastic Modelling Techniques and Applications網絡公開度




書目名稱Analytical and Stochastic Modelling Techniques and Applications網絡公開度學科排名




書目名稱Analytical and Stochastic Modelling Techniques and Applications被引頻次




書目名稱Analytical and Stochastic Modelling Techniques and Applications被引頻次學科排名




書目名稱Analytical and Stochastic Modelling Techniques and Applications年度引用




書目名稱Analytical and Stochastic Modelling Techniques and Applications年度引用學科排名




書目名稱Analytical and Stochastic Modelling Techniques and Applications讀者反饋




書目名稱Analytical and Stochastic Modelling Techniques and Applications讀者反饋學科排名

抒情短詩

fulcrum

投票

Insensate

Efficient Performance Evaluation of Wireless Networks with Varying Channel Conditions,le mobile nodes, each experiencing varying and not necessarily identical wireless channel conditions. An opportunistic scheduler optimises performance by accounting for both buffer size as well as channel conditions when allocating the transmitter energy among its users. The present study provides t

Lice692

Mixed Networks with Multiple Classes of Customers and Restart,ss and restart to the first step of service. The queues which receive signals can have an infinite server or a processor sharing discipline. The service time distributions are hyper-exponential, which can have high variance and are realistic for many real-world applications, such as transmission tim

割公牛膨脹

KIN

直言不諱

Defiance

On Convergence Rate to Stationarity of Queues with General Gaussian Input, with stationary increments. It is assumed that variance of the input process is regularly varying with index .. It is proved that the convergence rate is exactly the same that has been obtained for the fluid system fed by the corresponding fractional Brownian motion.