View in EDS

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

Saved in:
Bibliographic Details
Title: A Two-Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions
Language: English
Authors: Chander Diwaker, Neha Miglani (ORCID 0000-0002-5636-7229)
Source: Journal of Computer Assisted Learning. 2025 41(3).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 34
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Information Analyses
Descriptors: Internet, Information Storage, Educational Practices, Computation, Computer Networks, Information Technology, Resource Allocation, Bibliometrics, Classification, Publications, Authors, Financial Support, Geographic Distribution, Citations (References), Citation Analysis, Network Analysis
DOI: 10.1111/jcal.70042
ISSN: 0266-4909
1365-2729
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.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1474551
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1474551
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Two-Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chander+Diwaker%22">Chander Diwaker</searchLink><br /><searchLink fieldCode="AR" term="%22Neha+Miglani%22">Neha Miglani</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5636-7229">0000-0002-5636-7229</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Computer+Assisted+Learning%22"><i>Journal of Computer Assisted Learning</i></searchLink>. 2025 41(3).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 34
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research<br />Information Analyses
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Storage%22">Information Storage</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Practices%22">Educational Practices</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Networks%22">Computer Networks</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Technology%22">Information Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+Allocation%22">Resource Allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Publications%22">Publications</searchLink><br /><searchLink fieldCode="DE" term="%22Authors%22">Authors</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+Support%22">Financial Support</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+Distribution%22">Geographic Distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Citations+%28References%29%22">Citations (References)</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+Analysis%22">Citation Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Network+Analysis%22">Network Analysis</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/jcal.70042
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0266-4909<br />1365-2729
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1474551
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1474551
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jcal.70042
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 34
    Subjects:
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Information Storage
        Type: general
      – SubjectFull: Educational Practices
        Type: general
      – SubjectFull: Computation
        Type: general
      – SubjectFull: Computer Networks
        Type: general
      – SubjectFull: Information Technology
        Type: general
      – SubjectFull: Resource Allocation
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Classification
        Type: general
      – SubjectFull: Publications
        Type: general
      – SubjectFull: Authors
        Type: general
      – SubjectFull: Financial Support
        Type: general
      – SubjectFull: Geographic Distribution
        Type: general
      – SubjectFull: Citations (References)
        Type: general
      – SubjectFull: Citation Analysis
        Type: general
      – SubjectFull: Network Analysis
        Type: general
    Titles:
      – TitleFull: A Two-Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chander Diwaker
      – PersonEntity:
          Name:
            NameFull: Neha Miglani
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 0266-4909
            – Type: issn-electronic
              Value: 1365-2729
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Journal of Computer Assisted Learning
              Type: main
ResultId 1