✓ Indexed in BIBNEX
Info:eu Repo/semantics/article
Review of Techniques and Algorithms of Load Balancing in Cloud Computing
Abstract
Cloud computing has transformed the IT industry by enabling convenient access to data, programs, and files over the Internet. A variety of load balancing algorithms, including Round Robin, ESCE, Min-Min, Max-Min, and Throttled, are covered in the discussion along with their effects on throughput, fault tolerance, scalability, and overhead. The literature review stresses the dynamic nature of the cloud computing landscape by highlighting important contributions from scholars. Additionally, the study identifies issues in cloud services, such as automated service provisioning, virtual machine migration, energy management, stored data management, and the growth of small data centers. Even though cloud computing has become widely used, these difficulties highlight the continued need for innovation in the industry.
Keywords
Cloud Computing
Load Balancing
Load Balancing Algorithm
Round Robin Algorithm
ESCE
Throttled Algorithm
Min-Min Algorithm
Max-Min Algorithm
Cite This Article
(2024).
Review of Techniques and Algorithms of Load Balancing in Cloud Computing.
Journal of Recent Innovations in Computer Science and Technology
, 1(1)
.
https://doi.org/10.70454/jricst.2024.10103
“Review of Techniques and Algorithms of Load Balancing in Cloud Computing.”
Journal of Recent Innovations in Computer Science and Technology,
vol. 1,
no. 1,
2024
.
https://doi.org/10.70454/jricst.2024.10103
“Review of Techniques and Algorithms of Load Balancing in Cloud Computing.”
Journal of Recent Innovations in Computer Science and Technology
1
, no. 1
(2024)
.
https://doi.org/10.70454/jricst.2024.10103
(2024)
‘Review of Techniques and Algorithms of Load Balancing in Cloud Computing’,
Journal of Recent Innovations in Computer Science and Technology
, 1
(1)
.
Available at:
https://doi.org/10.70454/jricst.2024.10103
Review of Techniques and Algorithms of Load Balancing in Cloud Computing.
Journal of Recent Innovations in Computer Science and Technology.
2024
;1
(1)
.
doi:
10.70454/jricst.2024.10103