Study of building a framework for modeling and simulation of cloud computing (infrastructure and services)

Abstract

The study aims to build a framework for modeling cloud architectures for electronic clouds, define an approach that works efficiently and effectively to simulate infrastructures, and compare the results with a real cloud environment to improve services, because experiments in a real cloud environment are very difficult and expensive, which produces unexpected reports in the implementation phase. It is difficult to solve in order to perform operations again and determine what is required. The importance of the study lies in the possibility of expansion, development, building and testing of technologies to improve services, for the total adoption of this technology by institutions. The study used the applied descriptive analytical approach, by creating and preparing data centers and the hosts, hosts and virtual machines they contain. And prepare cloud tasks and connect them to virtual machines, and determine the start time of the cloud simulation and the end time of the simulation, all of these operations using common, slips, and java, one of the most important results of this study is the presence of different information to measure capabilities with tasks and cases and the time and end of the simulation, and changing the number of hosts and displaying these experiments in the cloud before uploading them to the real world, which reduces energy consumption and finding solutions that leads to increased data efficiency. One of the most important recommendations of the study is to focus on developing work on Data centers and linking them with artificial intelligence and deep learning techniques, and benefiting from data mining and forecasting tools.