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Cloud computing is an Internet based technology which empowers its user by providing access to an offsite huge distributed virtualized and scalable infrastructure via Internet. This infrastructure is composed of a number of hosts which may be homogeneous or heterogeneous in configuration are networked together to enable network storage, computing, services to the users. During high demands of users the workload on infrastructure increases which may impact the performance in cloud environment due to load imbalance. To overcome such issues the concept of load balancing arises. It is a methodology which works towards to equalize the load among the available resources in cloud surroundings. The role of load balancing is vital in cloud computing surroundings as it is responsible for maintaining the Quality of Services (QoS) in terms of optimized usage of resources, limiting the operational cost, making energy efficient system and increasing scalability. Testing of the load balancing algorithms in real cloud environs is a bottleneck due to resource wastage and lack of time. Simulation provides an aid to developers or researchers to provide a feedback by mimicking the actual environment. The paper deals with simulation based analysis of different distributed and centralized load balancing algorithms implemented in CloudSim.
DOI: https://doi.org/10.1166/jctn.2019.8280