An Adaptive Approach for Load Balancing in Cloud Computing Using MTB Load Balancing

Abstract

Cloud computing is a globalized concept and there is no limit to the cloud. In the real scenario of cloud computing, a computer is used to process and store user data in the server which can be located anywhere in the world. Cloud computing includes cloud computing, cloud computing architecture, virtualization and MS load balancing technology which provides enhanced load balancing. As we know Cloud Computing has many attractive features that can be used to store their confidential data with many organizations. Due to the technology of collecting virtual machines, this technique has only used computers. Cloud computing is an important technique for parallel computing along with distributed computing. Cloud computing provides various features like shared resources, software packages, information, storage and many different applications, based on the user's demand worldwide. It provides a comprehensive solution for computing and storage. By increasing the popularity of cloud computing; to protect the confidential data, it has been challenging to handle service requests, to run feedback threads on a real-time basis. Therefore, in short, we can say that rapid use of technology has led to some performance such as performance, fault tolerance, data redundancy, data loss etc. Cloud Technology is one of the key issues in today's performance analysis in which the user does not access information from cloud storage at the mean time due to load balancing. Therefore, one of the factors of performance analysis is load balancing which is responsible for the time of request and response in cloud computing technology and by improving the load balancing factor, we can improve the performance analysis of this technique.