Approximation algorithms for data distribution with load balancing of web servers

2001 ◽  
Author(s):  
Li-Chuan Chen ◽  
Hyeong-Ah Choi
Keyword(s):  
Approximation Algorithms ◽  
Load Balancing ◽  
Data Distribution ◽  
Web Servers

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.

scholarly journals Load balancing in data distribution systems

2020 ◽  
Vol 1546 ◽  
pp. 012003
Author(s):  
O V Denisov ◽  
E O Vikulov
Keyword(s):  
Load Balancing ◽  
Distribution Systems ◽  
Data Distribution

EquiLoad: a load balancing policy for clustered web servers

2001 ◽  
Vol 46 (2-3) ◽  
pp. 101-124 ◽  
Author(s):  
Gianfranco Ciardo ◽  
Alma Riska ◽  
Evgenia Smirni
Keyword(s):  
Load Balancing ◽  
Web Servers

scholarly journals Flow Based Load Balancing: Optimizing Web Servers Resource Utilization

2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Leonardo Richter Bays ◽  
Daniel Stefani Marcon
Keyword(s):  
Load Balancing ◽  
Resource Utilization ◽  
Web Servers

scholarly journals AWSQ: an approximated web server queuing algorithm for heterogeneous web server cluster

2019 ◽  
Vol 9 (3) ◽  
pp. 2083
Author(s):  
Kadiyala Ramana ◽  
M. Ponnavaikko
Keyword(s):  
Load Balancing ◽  
Web Server ◽  
Web Servers ◽  
Heavy Load ◽  
Web Based ◽  
Server Cluster ◽  
Mean Response Time ◽  
Web Server Cluster ◽  
Remaining Capacity ◽  
Web Server Clusters

With the rising popularity of web-based applications, the primary and consistent resource in the infrastructure of World Wide Web are cluster-based web servers. Overtly in dynamic contents and database driven applications, especially at heavy load circumstances, the performance handling of clusters is a solemn task. Without using efficient mechanisms, an overloaded web server cannot provide great performance. In clusters, this overloaded condition can be avoided using load balancing mechanisms by sharing the load among available web servers. The existing load balancing mechanisms which were intended to handle static contents will grieve from substantial performance deprivation under database-driven and dynamic contents. The most serviceable load balancing approaches are Web Server Queuing (WSQ), Server Content based Queue (QSC) and Remaining Capacity (RC) under specific conditions to provide better results. By Considering this, we have proposed an approximated web server Queuing mechanism for web server clusters and also proposed an analytical model for calculating the load of a web server. The requests are classified based on the service time and keep tracking the number of outstanding requests at each webserver to achieve better performance. The approximated load of each web server is used for load balancing. The investigational results illustrate the effectiveness of the proposed mechanism by improving the mean response time, throughput and drop rate of the server cluster.

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