Performance Evaluation of Clustered Web Servers Using the Round Robin Scheme

2018 ◽  
Author(s):  
I. Hristoski ◽  
T. Dimovski ◽  
Z. Kotevski ◽  
R. Markoska ◽  
N. Rendevski
Keyword(s):  
Performance Evaluation ◽  
Round Robin ◽  
Web Servers

Performance evaluation and dynamic optimization of speed scaling on web servers in cloud computing

2013 ◽  
Vol 18 (3) ◽  
pp. 298-307 ◽  
Author(s):  
Yuan Tian ◽  
Chuang Lin ◽  
Zhen Chen ◽  
Jianxiong Wan ◽  
Xuehai Peng
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Dynamic Optimization ◽  
Web Servers ◽  
Speed Scaling

scholarly journals Performance Evaluation of Web Servers using Response Time and Bandwidth

2020 ◽  
Vol 9 (12) ◽  
pp. 133-138
Author(s):  
Nnodi Joy Tochukwu ◽  
Obasi Emmanuela Chinonye Mary
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Web Server ◽  
Data Sets ◽  
Web Traffic ◽  
Web Servers ◽  
Performance Evaluation System ◽  
Research Activities ◽  
Develop Software ◽  
Web Server Performance

Computer system performance can be measured using the amount of useful work accomplished by that system when compared to the time and resources utilized. Useful work here means how well the computer is doing the work it is supposed to do. Most websites work under the support of web servers that usually include hardware (for instance CPU, RAM, Disk, and network) as well as software (web services). The alarming growth in web traffic has led to performance problems and has necessitated much research activities as ways to improve web server performance. In this paper, a web server performance evaluation system that evaluates a server based on time of file execution and bandwidth has been designed and developed. Access log data sets from University of Port Harcourt web site were used to study the system and develop software for checking time of server activity in any domain where the application is executed. The evaluation system so designed and developed can be deployed in any server and the values generated can be used in making useful decisions that will mitigate certain occurrences in the future and also offers site owners information that will be useful in forecasting users visiting behaviours and the effects on the server downtime.

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