Web server performance analysis using histogram workload models

2009 ◽  
Vol 53 (15) ◽  
pp. 2727-2739 ◽  
Author(s):  
Enrique Hernández-Orallo ◽  
Joan Vila-Carbó
Keyword(s):  
Performance Analysis ◽  
Web Server ◽  
Web Server Performance ◽  
Workload Models

Web traffic modeling and Web server performance analysis

1999 ◽  
Vol 27 (3) ◽  
pp. 24-27 ◽  
Author(s):  
Mark S. Squillante ◽  
David D. Yao ◽  
Li Zhang
Keyword(s):  
Performance Analysis ◽  
Web Server ◽  
Traffic Modeling ◽  
Web Traffic ◽  
Web Server Performance

scholarly journals Web Server Performance Improvement Using Dynamic Load Balancing Techniques: A Review

2021 ◽  
pp. 47-62
Author(s):  
Ibrahim Mahmood Ibrahim ◽  
Siddeeq Y. Ameen ◽  
Hajar Maseeh Yasin ◽  
Naaman Omar ◽  
Shakir Fattah Kak ◽  
...  
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Performance Improvement ◽  
Web Server ◽  
Dynamic Load Balancing ◽  
The Internet ◽  
Web Servers ◽  
Web Server Performance ◽  
Server Clusters ◽  
The Web

Today, web services rapidly increased and are accessed by many users, leading to massive traffic on the Internet. Hence, the web server suffers from this problem, and it becomes challenging to manage the total traffic with growing users. It will be overloaded and show response time and bottleneck, so this massive traffic must be shared among several servers. Therefore, the load balancing technologies and server clusters are potent methods for dealing with server bottlenecks. Load balancing techniques distribute the load among servers in the cluster so that it balances all web servers. The motivation of this paper is to give an overview of the several load balancing techniques used to enhance the efficiency of web servers in terms of response time, throughput, and resource utilization. Different algorithms are addressed by researchers and get good results like the pending job, and IP hash algorithms achieve better performance.

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