Utilizing dynamic load balancing to improve private cloud paradigm

In today's changing world businesses are increasingly relying on private cloud solutions to meet their specific needs, for growth and effectiveness. This research paper explores the realm of cloud computing with a focus on how it offers a customized and tailor-made approach to address the chall...

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Vydáno v:International journal of information technology (Singapore. Online) Ročník 16; číslo 6; s. 3465 - 3474
Hlavní autoři: Sharmah, Daisy, Bora, Kanak Chandra, Noorain, Md, Karmacharya, Yogita
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.08.2024
Springer Nature B.V
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ISSN:2511-2104, 2511-2112
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Abstract In today's changing world businesses are increasingly relying on private cloud solutions to meet their specific needs, for growth and effectiveness. This research paper explores the realm of cloud computing with a focus on how it offers a customized and tailor-made approach to address the challenges of scalability and operational efficiency. This comparative study examines how private cloud infrastructures empower organizations to adjust their resources based on their requirements. In this paper, we will explore private cloud solutions in-depth, focusing on their ability to meet specific business needs, foster growth, and improve operational efficiency. Beyond the basics, we will also address the challenges faced by businesses in implementing private cloud infrastructures. Through rigorous analysis, real-world case studies, and industry best practices, we identify these challenges and offer innovative strategies to overcome them. In this study, we will also explore load-balancing techniques analyzing strategies for resource optimization and system performance enhancement. While private clouds offer many benefits, organizations need to assess their specific requirements and weigh these advantages against the potential limitations, such as higher initial setup costs and the urgency for in-house expertise for management and maintenance. Many businesses also opt for hybrid cloud solutions, combining elements of both private and public clouds to achieve a balance between control, flexibility, and scalability. Our purpose centers on the throttled load balancing algorithm, an innovative method for efficient network load management.
AbstractList In today's changing world businesses are increasingly relying on private cloud solutions to meet their specific needs, for growth and effectiveness. This research paper explores the realm of cloud computing with a focus on how it offers a customized and tailor-made approach to address the challenges of scalability and operational efficiency. This comparative study examines how private cloud infrastructures empower organizations to adjust their resources based on their requirements. In this paper, we will explore private cloud solutions in-depth, focusing on their ability to meet specific business needs, foster growth, and improve operational efficiency. Beyond the basics, we will also address the challenges faced by businesses in implementing private cloud infrastructures. Through rigorous analysis, real-world case studies, and industry best practices, we identify these challenges and offer innovative strategies to overcome them. In this study, we will also explore load-balancing techniques analyzing strategies for resource optimization and system performance enhancement. While private clouds offer many benefits, organizations need to assess their specific requirements and weigh these advantages against the potential limitations, such as higher initial setup costs and the urgency for in-house expertise for management and maintenance. Many businesses also opt for hybrid cloud solutions, combining elements of both private and public clouds to achieve a balance between control, flexibility, and scalability. Our purpose centers on the throttled load balancing algorithm, an innovative method for efficient network load management.
Author Sharmah, Daisy
Karmacharya, Yogita
Noorain, Md
Bora, Kanak Chandra
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CitedBy_id crossref_primary_10_1007_s41870_025_02520_1
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Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
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Keywords Data center controller
Infrastructure
Throttled load balancing algorithm
Dynamic load balancing
Private cloud computing
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Artificial Intelligence
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Efficiency
Genetic algorithms
Image Processing and Computer Vision
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Machine Learning
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Title Utilizing dynamic load balancing to improve private cloud paradigm
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