Performance evaluation of a distributed energy model with compound Poisson arrivals on an improvised forked network: A detailed analysis

Author(s):  
Thirupathi Rao N ◽  
Debnath Bhattacharyya ◽  
Meeravali Sk ◽  
Seung-phil Hong
2015 ◽  
Vol 98 (2) ◽  
pp. 159-167 ◽  
Author(s):  
Mohamed Arbi Khlifi ◽  
Marwa Ben Slimene ◽  
Mouldi Ben Fredj ◽  
Habib Rhaoulia

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.


2015 ◽  
Vol 31 (4) ◽  
pp. 618-635 ◽  
Author(s):  
Sebastian Schweer ◽  
Cornelia Wichelhaus

2020 ◽  
Vol 14 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Panagiotis I. Panagoulias ◽  
Ioannis D. Moscholios ◽  
Panagiotis G. Sarigiannidis ◽  
Michael D. Logothetis

Sign in / Sign up

Export Citation Format

Share Document