Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment.

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Bibliographic Details
Title:	Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment.
Authors:	Joshi, Narayan A.¹ narayan.joshi.mca@ddu.ac.in
Source:	IAENG International Journal of Computer Science. Feb2026, Vol. 53 Issue 2, p808-818. 11p.
Subjects:	Cloud computing, Load balancing (Computer networks), Mathematical optimization, Fault tolerance (Engineering), Resource management
Abstract:	Efficient management of cloud resources and fault tolerance are some of the most vital parameters for achieving the highest efficiency and dependability in cloud computing platforms. The effective utilization of cloud resources is crucial to achieve greater efficiency in cloud computing platforms. Implementing workload balancing by sharing cloud-based resources within intra-cloud platform instances is a widely recognized solution for achieving higher performance in cloud environments. However, implementation of inadequately designed load balancing techniques often creates starvation problems for overloaded cloud instances. This paper recommends a novel and proficient workload distribution solution for cloud computing platforms. The suggested solution attempts to alleviate the latency duration of overloaded cloud instances by implementing dynamic weights on the static priority levels. The proposed load balancer solution was implemented and evaluated using the OpenStack open source private cloud platform architecture. The private cloud environment was set up on open source Fedora Linux operating system software. The experimental results indicate a significant reduction in latency times, effectively addressing the starvation issue faced by overloaded cloud instances. These results also demonstrate a noteworthy reduction in the number of overloaded and underloaded cloud instances, as well as a substantial increase in the number of load balancing jobs initiated. There is potential for further research on the recommended load balancing mechanism for its application in collaborative cloud environments. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Efficient management of cloud resources and fault tolerance are some of the most vital parameters for achieving the highest efficiency and dependability in cloud computing platforms. The effective utilization of cloud resources is crucial to achieve greater efficiency in cloud computing platforms. Implementing workload balancing by sharing cloud-based resources within intra-cloud platform instances is a widely recognized solution for achieving higher performance in cloud environments. However, implementation of inadequately designed load balancing techniques often creates starvation problems for overloaded cloud instances. This paper recommends a novel and proficient workload distribution solution for cloud computing platforms. The suggested solution attempts to alleviate the latency duration of overloaded cloud instances by implementing dynamic weights on the static priority levels. The proposed load balancer solution was implemented and evaluated using the OpenStack open source private cloud platform architecture. The private cloud environment was set up on open source Fedora Linux operating system software. The experimental results indicate a significant reduction in latency times, effectively addressing the starvation issue faced by overloaded cloud instances. These results also demonstrate a noteworthy reduction in the number of overloaded and underloaded cloud instances, as well as a substantial increase in the number of load balancing jobs initiated. There is potential for further research on the recommended load balancing mechanism for its application in collaborative cloud environments. [ABSTRACT FROM AUTHOR]
ISSN:	1819656X