Web Traffic over Bluetooth: Modeling, Analysis and Performance Evaluation

2007 ◽  
Author(s):  
Pero Latkoski ◽  
Liljana Gavrilovska
Keyword(s):  
Performance Evaluation ◽  
Web Traffic ◽  
Modeling Analysis ◽  
And Performance

A novel node architecture for optical networks: Modeling, analysis and performance evaluation

2007 ◽  
Vol 30 (5) ◽  
pp. 999-1014 ◽  
Author(s):  
A. Lazzez ◽  
Y. Khlifi ◽  
S. Guemara El Fatmi ◽  
N. Boudriga ◽  
M.S. Obaidat
Keyword(s):  
Performance Evaluation ◽  
Optical Networks ◽  
Modeling Analysis ◽  
Node Architecture ◽  
And Performance

scholarly journals Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
D. C. Vasiliadis ◽  
G. E. Rizos ◽  
C. Vassilakis
Keyword(s):  
Performance Evaluation ◽  
Interconnection Network ◽  
Scheduling Algorithm ◽  
Priority Queues ◽  
Data Link ◽  
Multistage Interconnection Network ◽  
Scheduling Policy ◽  
Modeling Analysis ◽  
And Performance ◽  
Scheduling Technique

Contemporary networks accommodate handling of multiple priorities, aiming to provide suitable QoS levels to different traffic classes. In the presence of multiple priorities, a scheduling algorithm is employed to select each time the next packet to transmit over the data link. Class-based Weighted Fair Queuing (CBWFQ) scheduling and its variations is widely used as a scheduling technique, since it is easy to implement and prevents the low-priority queues from being completely neglected during periods of high-priority traffic. By using this scheduling, low-priority queues have the opportunity to transmit packets even though the high-priority queues are not empty. In this work, the modeling, analysis and performance evaluation of a single-buffered, dual-priority multistage interconnection network (MIN) operating under the CBWFQ scheduling policy is presented. Performance evaluation is conducted through simulation, and the performance measures obtained can be valuable assets for MIN designers, in order to minimize the overall deployment costs and delivering efficient systems.

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