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Simulation of load balancing algorithms using cloud analyst for distinct regions IT resources
Author(s) -
Aditiya,
Rashim Rana
Publication year - 2022
Publication title -
international journal of research in engineering and innovation
Language(s) - English
Resource type - Journals
ISSN - 2456-6934
DOI - 10.36037/ijrei.2022.6206
Subject(s) - cloud computing , computer science , server , cloud testing , data center , utility computing , the internet , virtual machine , cloud computing security , service (business) , purchasing , single chip cloud computer , distributed computing , service provider , algorithm , world wide web , operating system , engineering , operations management , economy , economics
Cloud computing is currently on the rise as new technology and as a new business model, according to experts. Data archiving, servers (both real-world and virtual), telecommunications, machine learning tools for data analysis, and a cloud services provider's (CSP) data center are all examples of cloud computing resources that are available on demand over the internet. Cloud computing allows client devices to access data from faraway servers over the internet, which is referred to as "cloud computing." Rather than purchasing, operating, and maintaining physical data centers and servers, we can take advantage of technology services provided by third parties. A pay-per-use pricing structure is in place. It is spreading over the world simply because of its simple and service-oriented business approach. It delivers the greatest computing service to the user and makes the execution of large-scale activities much easier than before. Through the use of a cloud analyst tool, this study provides an overview of the evaluation of the response time and processing time of several existing algorithms that are used in cloud computing.

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