Enhanced Active Monitoring Load Balancing algorithm for Virtual Machines in cloud computing

This present research work aims to maximize the performance of cloud systems while reducing the response time through dynamic load balancing algorithm in cloud computing environment. Cloud computing provides different information technology services as a commodity to its users. When it was introduced, business industries were using large-scale mainframes and they are increasing in numbers and sizes. All are aims to increase its number of users to get more revenue. Hence they need different types of services having infrastructure, platform, software and many more in less response time. Two types of policies exist in cloud computing systems namely static load balancing and dynamic load balancing. Static load balancing policies do not consider the current state of system. These algorithms are suitable for homogeneous and stable environment. Dynamic load balancing depends on the present behavior of the system. There are various dynamic load balancing policies for virtual machines already existing in this context including Throttled and Active Monitoring in cloud computing systems. These types of algorithms are more flexible in nature. In this research paper, Enhanced Active Monitoring Load Balancing (EAMLB) algorithm is designed to minimize the response time in cloud systems. EAMLB policy provides better response time than Active Monitoring policy that improves the performance of cloud systems. Further, to assess the proposed algorithm, CloudAnalyst tool is used and comparative analysis is also represented.