Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing

2005 ◽  
Vol 32 (8) ◽  
pp. 2129-2145 ◽  
Author(s):  
Der-Chiang Li ◽  
Chihsen Wu ◽  
Fengming M. Chang
Keyword(s):  
Load Balancing ◽  
Round Robin ◽  
Network Load ◽  
Network Load Balancing

scholarly journals Analisis Kinerja Web Server Menggunakan Algoritma Round Robin dan Least Connection

2017 ◽  
Vol 6 (1) ◽  
pp. 55
Author(s):  
Molavi Arman ◽  
Novan Wijaya ◽  
Hafiz Irsyad
Keyword(s):  
Load Balancing ◽  
Economic Value ◽  
Web Server ◽  
Round Robin ◽  
Online Transactions ◽  
Network Load ◽  
Network Load Balancing ◽  
Web Server Performance ◽  
Technology Solution ◽  
The Web

In the industrialized world many companies are using web as a form of promotion or online transactions such as e-commerce. It handles millions of hit visits on the web server. There are many things that can cause the failure hit. One of them is the number of requests or transactions to the web server that is not able to be handled or the slowness of the response, which is very dangerous and detrimental for the company. The single web server with extremely expensive brands is a way to face the constraints overload, but only certain companies are able to have it. The issues faced, how to use some of the PCs as a web server with a reasonable economic value, could be empowered by implementing network load balancing technology. Network load balancing is a technology solution that is used, and expected to be able to handle the simultaneous load of web server with small output failure. Web server performance measurement at the round robin algorithm and least connection include parameters against components such as throughput, request loss, response time and cpu utilization, from the result of the measurement, it will be seen which is the best algorithm to use.

scholarly journals Load Balancing Network by using Round Robin Algorithm: A Systematic Literature Review

2020 ◽  
Vol 4 (2) ◽  
pp. 85 ◽  
Author(s):  
Taufik Hidayat ◽  
Yasep Azzery ◽  
Rahutomo Mahardiko
Keyword(s):  
Load Balancing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Load Balance ◽  
Simple Algorithm ◽  
Round Robin ◽  
Process Efficiency ◽  
Network Load ◽  
Network Load Balancing ◽  
Selection Of

The use of load balance on a network will be very much needed if the network is an active network and is widely accessed by users. A reason is that it allows network imbalances to occur. Round Robin (RR) algorithm can be applied for network load balancing because it is a simple algorithm to schedule processes so that it can provide work process efficiency. Authors use the Systematic Literature Review (SLR) method in which it can be applied for criteria selection during papers search to match the title being raised. SLR is divided into five stages, namely formalization of questions, criteria selection, selection of sources, selection of search results, and quality assessment. By using SLR, it is expected that papers according to criteria and quality can be found.

Study on Network Load Balancing Algorithm Based on Server Cluster System

2012 ◽  
Vol 182-183 ◽  
pp. 1978-1981 ◽  
Author(s):  
Li Lan ◽  
Chu Huan Qi
Keyword(s):  
Load Balancing ◽  
Load Balance ◽  
Cluster System ◽  
Utilization Efficiency ◽  
Server Cluster ◽  
Use Of Resources ◽  
Network Load ◽  
System Resource ◽  
Network Load Balancing ◽  
Load Balancing Algorithm

The utilization efficiency of system resources is a key issue for cluster system while load balance is an important tool to realize the efficient use of resources. Based on server cluster system, this paper puts forwards an improved self-adaptive algorithm for network load balancing. Simulation results show that the algorithm can improve the utilization efficiency of system resource and reduce the server’s response time so as to achieve the request of real time when dealing with tasks and high availability of system.

Development of a Hybrid Algorithm for User Association and Resource Allocation to Improve Load Balancing and Energy Efficiency in 5G HetNet

2020 ◽  
Vol 19 (1) ◽  
pp. 17-25
Author(s):  
Elvis Obi ◽  
Aliyu Danjuma Usman ◽  
Suleiman Muhammad Sani ◽  
Abdoulie Momodou Sunkary Tekanyi
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Load Balancing ◽  
Bandwidth Allocation ◽  
Hybrid Algorithm ◽  
Control Algorithm ◽  
User Association ◽  
Network Load ◽  
Power Control Algorithm ◽  
Network Load Balancing

This paper presents the development and integration of a power control algorithm into the User Association Algorithm with Optimal Bandwidth Allocation (UAAOBA) to form a Hybrid Algorithm for User Association and Resource Allocation (HAUARA). The power control algorithm updates the transmit power of the Base Stations (BSs) towards a minimum transmit power that satisfies the minimum data rate requirement (1 Gbps) of the User Equipment UEs. The power update is achieved using the Newton Rhapson’s method and it adapts the transmit powers of the BSs to the number of their connected UEs. The developed HAUARA provides an optimal solution for user associations, bandwidth allocation, and transmit powers to UEs concurrently. This maximizes the network energy efficiency by coordinating the load fairness of the network while guaranteeing the quality of service requirement of the UEs. The network energy efficiency performance of the developed HAUARA is compared with that of the UAAOBA. The results show that the developed algorithm has network energy efficiency improvement of 12.36%, 10.58%, and 13.44% with respect to UAAOBA for increase number of macro BS antennas, pico BSs, and femto BSs, respectively. Also, the network load balancing performance of the developed HAUARA is compared with that of the UAAOBA. The results show that the developed algorithm has network load balancing improvement of 12.62%, 10.04%, and 10.34% with respect to UAAOBA for increase number of macro BS antennas, pico BSs, and femto BSs, respectively. This implies that the developed algorithm outperforms the UAAOBA in terms of network energy efficiency and load balancing.

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