A Two-Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions

IF 5.1 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Journal of Computer Assisted Learning Pub Date : 2025-05-13 DOI:10.1111/jcal.70042

Chander Diwaker, Neha Miglani

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引用次数: 0

Abstract

Background

The ever-increasing computational demands call for optimal resource utilisation and system performance in the cloud environment. Organisations are increasingly migrating workloads to cloud platforms, mandating the need for efficient resource distribution. Load balancing, a critical cloud component, ensures equitable distribution of compute resources, thereby mitigating resource bottlenecks while enhancing system scalability.

Objectives

This paper presents a novel and comprehensive bibliometric analysis of research in the field of LB in cloud over the past 20 years. Unlike prior analyses, it aims at employing a broader dataset, insightful observations and streamlined methodologies to identify key trends, potential impacts, evolving landscapes and associated challenges.

Methods

Data has been retrieved from the Scopus database, encompassing 5978 articles published from 2004 to 2023. The analysis includes document types, subject-based categorizations, and the growth rate of publications. Unlike prior studies, this work yields a comparative dissection of influential contributions, identifying prominent journals, prolific authors, leading funding agencies, and geographic distribution illustrating global research impact. Additionally, citation clustering and keyword evolution emphasise drifts in research cornerstones and cropping challenges, offering deeper comprehensions into the domain's progression. Advanced bibliometric techniques such as co-citation analysis and network analysis uncover research patterns.

Results and Conclusions

This analysis underscores trends and knowledge gaps in LB over cloud. The findings offer a structured roadmap for future research, affirming the need for intelligent LB schemes aimed at enhancing cloud performance. It serves as a valuable resource for domain experts and researchers by providing insights into the current state, the field's evaluation while waving path for future advancements in cloud-based LB.

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云计算中负载平衡的二十年分析：对教育系统和未来方向的启示

日益增长的计算需求要求在云环境中实现最佳的资源利用和系统性能。组织越来越多地将工作负载迁移到云平台，这就要求对高效资源分配的需求。负载均衡是云计算的重要组成部分，可以保证计算资源的合理分配，从而缓解资源瓶颈，增强系统的可扩展性。本文对近20年来云计算LB领域的研究进行了新颖而全面的文献计量分析。与之前的分析不同，它旨在采用更广泛的数据集、富有洞察力的观察和简化的方法来确定关键趋势、潜在影响、不断变化的景观和相关挑战。方法从Scopus数据库中检索2004 - 2023年发表的5978篇文献。该分析包括文档类型、基于主题的分类和出版物的增长率。与先前的研究不同，这项工作对有影响力的贡献进行了比较分析，确定了著名期刊、多产作者、主要资助机构和说明全球研究影响的地理分布。此外，引文聚类和关键词演化强调了研究基石和裁剪挑战的漂移，为该领域的发展提供了更深入的理解。先进的文献计量技术，如共引分析和网络分析揭示研究模式。该分析强调了云上LB的趋势和知识差距。研究结果为未来的研究提供了一个结构化的路线图，肯定了智能负载均衡方案的需求，旨在提高云性能。它为领域专家和研究人员提供了宝贵的资源，提供了对当前状态的见解，该领域的评估，同时为基于云计算的LB的未来发展指明了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

9.70

自引率

6.00%

发文量

116

期刊介绍： The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope