Simulation of load balancing algorithms using cloud analyst for distinct regions IT resources

Abstract

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.