Performance Evaluation of Check Pointing and Threshold Algorithm for Load Balancing in Cloud Computing

Karki, Sheetal; Goyal, Anshika

doi:10.26438/ijcse/v6i5.234240

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature Review1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

2024

Publication Types

Select...

Article1

Book1

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sheetal Karki et al in 2018 [8] explains that the data is stored in a centralized virtual machine called cloud and the cloud provider companies are responsible to assign the offerings to the end users. The end users get entry to the offerings primarily based on their needs and are to be paid for what's being served.…”

Section: Literature Reviewmentioning

confidence: 99%

Load Balancing in Cloud Computing with Enhanced Genetic Algorithm

2019

IJRTE

View full text Add to dashboard Cite

 Abstract:-Cloud computing has a decentralized architecture in which virtual machine migration is one of the major challenges which affects the network performance. To balance the network load, various techniques are designed for the virtual machine migration. In the previous research work, genetic algorithm was proposed for Virtual Machine (VM) migration which can balance the network load. The genetic algorithm is complex in nature which increases the execution time. In this research work, genetic algorithm is improved for VM migration which reduces the execution time and also space and bandwidth utilization.

show abstract

Section: Literature Reviewmentioning

confidence: 99%