Implementation of Improved Throttled Load Balancing Algorithm Using Cloud Analyst

Big Data Applications are handled using Cloud. Cloud computing contains an important area of resource management. The resources are of two types as physical resources and logical resources. Resource management refers to the operations used to control how capabilities provided by Cloud resources and services can be made available to other entities, whether users, applications, services in an efficient manner. Scheduling of Virtual Machines to Data Centers should conserve energy.  Task scheduling to Virtual machine also focuses on reducing the time delay and cost. Load balancing plays a vital role in making the usage of resources in an efficient manner. There are many algorithms used for load balancing. In this paper, comparative study is performed for existing Round robin algorithm, Throttle algorithm and proposed Dynamic load balancing algorithm in cloud computing. Proposed algorithm is implemented and tested. All of these algorithms are compared in terms of Response time Datacenter Request Servicing time and Cost in Cloud Analyst and Results prove the performance of proposed algorithm.