On the Accurate Performance Evaluation of the LTE-A Random Access Procedure

Author(s):  
Israel Leyva-Mayorga ◽  
Luis Tello-Oquendo ◽  
Vicent Pla ◽  
Jorge Martinez-Bauset ◽  
Vicente Casares-Giner
2017 ◽  
Vol 16 (12) ◽  
pp. 7785-7799 ◽  
Author(s):  
Israel Leyva-Mayorga ◽  
Luis Tello-Oquendo ◽  
Vicent Pla ◽  
Jorge Martinez-Bauset ◽  
Vicente Casares-Giner

Author(s):  
Hamzeh Khazaei ◽  
Jelena Mišić ◽  
Vojislav B. Mišić

Accurate performance evaluation of cloud computing resources is a necessary prerequisite for ensuring that Quality of Service (QoS) parameters remain within agreed limits. In this chapter, the authors consider cloud centers with Poisson arrivals of batch task requests under total rejection policy; task service times are assumed to follow a general distribution. They describe a new approximate analytical model for performance evaluation of such systems and show that important performance indicators such as mean request response time, waiting time in the queue, queue length, blocking probability, probability of immediate service, and probability distribution of the number of tasks in the system can be obtained in a wide range of input parameters.


2009 ◽  
Vol 43 (3-4) ◽  
pp. 279-294 ◽  
Author(s):  
José Ramón Gállego ◽  
Ángela Hernández ◽  
Israel Guío ◽  
Antonio Valdovinos

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