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

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...

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Publicado en:Journal of Computer Assisted Learning Vol. 41; no. 3; pp. 1 - 35
Autores principales: Diwaker, Chander, Miglani, Neha
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Jun2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2025
      vid: 41
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        185452184
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        10.1111/jcal.70042
        185452184
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        atl: A Two‐Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions.
      aug:
        au:
          Diwaker, Chander
          Miglani, Neha
        affil: Department of Computer Science and Engineering, University Institute of Engineering and Technology (UIET), Kurukshetra, India
      sug:
        subj:
          Cloud Computing
          Bibliometrics Evaluation
          Workload
          Human
          Research, Medical Trends
          Reference Databases
          Documentation Classification
          Publishing Trends
          Software
          Authors
          Serial Publications
          Research Support
          Geographic Factors
          Goals and Objectives
          Surveys
          Cluster Analysis
          Health Personnel
          Research Personnel
          Publishing Evaluation
          Journal Impact Factor
          Professional Organizations
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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