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...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 3; pp. 1 - 35 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185452184&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185452184 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2025 vid: 41 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 185452184 185452184 185452184 10.1111/jcal.70042 185452184 ppf: 1 ppct: 34 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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