Comparative Analysis of Scheduling Algorithms in Cloud Computing using CloudSim

Cloud computing restructured the entire world of IT by providing shared scalable resources to the organization. Cloud establishes a huge path to find the solution for many major problems found in the industry. Cloud offers virtualized resources such as applications, software, networks, servers, and storage services. Cloud enables all the virtualized resources to clients on a pay-per-use basis. Because of handling the vast request sent by multiple clients and providing more versatile services to the organization, the cloud faces many critical problems such as security issues, dissatisfied Quality-Of-Services, and sometimes an unbalanced load arises. Among those, the most serious problem is balancing the load across the network. Load balancing issues can be handled by scheduling the work eventually to all nodes without overloading any single node. This paper gives an overview idea of different load balancing algorithms and provides comparative results on its quality metrics.