Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment.
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| Title: | Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment. |
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| 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] |
| Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191342909 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Joshi%2C+Narayan+A%2E%22">Joshi, Narayan A.</searchLink><relatesTo>1</relatesTo><i> narayan.joshi.mca@ddu.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Feb2026, Vol. 53 Issue 2, p808-818. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Load+balancing+%28Computer+networks%29%22">Load balancing (Computer networks)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+management%22">Resource management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 808 Subjects: – SubjectFull: Cloud computing Type: general – SubjectFull: Load balancing (Computer networks) Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Fault tolerance (Engineering) Type: general – SubjectFull: Resource management Type: general Titles: – TitleFull: Designing and Testing Dynamically Weighted Load Balancer for Cloud Computing Environment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Joshi, Narayan A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 53 – Type: issue Value: 2 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
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