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Recent years have seen explosive emergence of the SMAC era, which is a combination of Social, Mobility, Analytics and Cloud Computing. The uses of Social networking are growing rapidly to collaborate at all levels of the extended enterprise. Employees are using Mobility to enhance the productivity. Apart from this people started to use Analytics based on big data and Cloud Computing which provides diff erent services like Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS). This abundance of services help businesses to develop approximate solutions that ultimately leads to leverage public IT infrastructure, minimizing cost of ownership and minimizing time. The deployment of SMAC in IT sector not only enhances the decision making capability but also allows them to rollout new unchecked business models and increase their reach to customers. Enterprises need to fully understand the capability and utilization of this emerging trend in order to make sense of their intended dominance in the next few years ahead.

In the vast complex world the emergence of cloud computing and its applications and uses in load balancing has been raised up to the maximum level. The number of users accessing this service is increasing drastically day by day. As the cloud is made up of datacenters; which are very much powerful to handle large numbers of users still then the essentiality of load balancing is vital. However load balancing is a technique of distributing the loads among various nodes of a distributed system to minimize the response time, minimize the cost, minimize the resource utilization, and minimize the overhead. The aim of this paper is to briefly discuss about various efficient and enhanced load balancing algorithms and experimentally verify how to minimize the response time and processing time through the tool called cloud analyst.

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