DESIGN AND IMPLEMENTATION OF AN INTELLIGENT MONITORING SYSTEM USING MODERN CLOUD TECHNOLOGY.

Abstract

In this day and age, corporations all over the world are finding that sophisticated real-time monitoring systems are becoming an increasingly important component of their operations. This is the case as a result of the current environment in which researchers are living. The objective of the project is to create and maintain an intelligent monitoring system that makes use of cloud technologies to simplify the process of gaining access to, scaling, and using data. The purpose of this endeavour is to construct a monitoring system that is not only intelligent but also reliable by using the qualities of the cloud platform. To provide just one example, it is advantageous to have the ability to quickly adapt to shifting circumstances, to get information from any source, and to acquire it immediately. In order to begin this process, the first step is to establish the monitoring system. As a result of advancements in technology, it is now far less difficult to collect and analyse data from a wide variety of sources. For the purpose of preventing problems from occurring in the first place, researchers may make use of predictive analytics and alerts in real time. Computing on the cloud is becoming more popular among researchers because it enables them to expand their systems while simultaneously keeping them up to date. The system is able to more easily handle workloads that are always changing since it has qualities such as continuous data flow, intelligent scalability, and safe storage. In the implementation, two intelligent characteristics that were used were adaptability and the capacity to recognise patterns that are not often noticed. Both of these characteristics were utilised. Due to the fact that it is both scalable and intelligent, this model has the potential to be used in a wide variety of disciplines, such as healthcare, smart cities, and manufacturing systems. It is of the utmost importance to maintain a close check on the data in each of these areas at all times and to determine what the researcher can learn from it.