Cloud Computing Tools: Inside Views and Analysis

Jena, Soumya Ranjan; Shanmugam, Raju; Saini, Kavita; Kumar, Sanjay

doi:10.1016/j.procs.2020.06.045

Cited by 23 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, this simulator helps to manage the load balance in the database of multiple users with the corresponding DC and internet. We use this simulator to check policies so that we can check and compare their results [57,58]. The four key concepts in this simulator are Region, UB, Data processing center, and VM load balancer.…”

Section: Cloudanayst Architecturementioning

confidence: 99%

Cost-effective clonal selection and AIS-based load balancing in cloud computing environment

Mosayebi¹,

Azmi²

2023

Preprint

View full text Add to dashboard Cite

One of the challenges in cloud computing is increasing efficiency, which calls for the application of task scheduling and load balancing. Numerous load-balancing methods that have been suggested for the cloud environment can increase efficiency. The Throttled policy is one of them that aids in evenly distributing user requests among virtual machines. In the first part of this article, we examined the cost of the Clonal selection algorithm with Throttled load balancing Policy and the Clonal selection algorithm with Distributed Service Broker Policy and contrasted them to the clonal selection and other immune systems mechanisms. Additionally, we suggest two additional mechanisms based on the artificial immune system. In the two proposed mechanisms, algorithms are introduced so that by benefiting from load balancing policies when receiving requests from users, in the shortest possible time and the fastest processing of data and with the lowest cost, they respond to users. In the second part, we introduce two other new algorithms that were created as a result of combining an evolutionary algorithm with the artificial immune system mechanisms. Algorithms have been evaluated and compared with other algorithms using the Cloud Analyst simulator in terms of average response time, average data center processing time, total data transfer cost, and total cost. The results attained show how much better the suggested algorithms are.

show abstract

Section: Cloudanayst Architecturementioning

confidence: 99%