A Deep Recurrent Network for Web Server Performance Prediction

2017 ◽  
Author(s):  
Jiajun Peng ◽  
Zheng Huang ◽  
Jie Cheng
Keyword(s):  
Performance Prediction ◽  
Web Server ◽  
Recurrent Network ◽  
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.

WebMonitor: a Tool for Measuring World-Wide Web Server Performance

First Monday ◽  
1997 ◽  
Author(s):  
Jussara M. Almeida ◽  
Virgilio Almeida ◽  
David J. Yates
Keyword(s):  
Operating System ◽  
World Wide Web ◽  
World Wide ◽  
Web Server ◽  
Size Distributions ◽  
Web Servers ◽  
Overall Performance ◽  
User Space ◽  
Web Server Performance

Server performance has become a crucial issue for improving the overall performance of the World-Wide Web. This paper describes WebMonitor, a tool for evaluating and understanding server performance, and presents new results for realistic workloads. WebMonitor measures activity and resource consumption, both within the kernel and in HTTP processes running in user space. WebMonitor is implemented using an efficient combination of sampling and event-driven techniques that exhibit low overhead. Our initial implementation is for the Apache World-Wide Web server running on the Linux operating system. We demonstrate the utility of WebMonitor by measuring and understanding the performance of a Pentium-based PC acting as a dedicated WWW server. Our workloads use file size distributions with a heavy tail. This captures the fact that Web servers must concurrently handle some requests for large audio and video files, and a large number of requests for small documents, containing text or images. Our results show that in a Web server saturated by client requests, up to 90% of the time spent handling HTTP requests is spent in the kernel. These results emphasize the important role of operating system implementation in determining Web server performance. It also suggests the need for new operating system implementations that are designed to perform well when running on Web servers.

scholarly journals Distributed proxy cache replacement algorithm to improve web server performance

2019 ◽  
Vol 8 (1) ◽  
pp. 1-5
Author(s):  
Marvin Chandra Wijaya
Keyword(s):  
Web Server ◽  
Internet Usage ◽  
Cache Replacement ◽  
Proxy Server ◽  
Proxy Cache ◽  
Replacement Algorithm ◽  
Web Server Performance ◽  
Server System ◽  
The Web

The performance of web processing needs to increase to meet the growth of internet usage, one of which is by using cache on the web proxy server. This study examines the implementation of the proxy cache replacement algorithm to increase cache hits in the proxy server. The study was conducted by creating a clustered or distributed web server system using eight web server nodes. The system was able to provide increased latency by 90 % better and increased throughput of 5.33 times better.

Sign in / Sign up

Export Citation Format

Share Document