LOAD BALANCING IN PUBLIC CLOUD COMBINING THE CONCEPTS OF DATA MINING AND NETWORKING

Abstract

Load balancing in the cloud computing environment has an important impact on the performance of whole system. A Good load balancing method makes cloud computing more efficient with increased user satisfaction. The combined concepts of networking, data mining and cloud computing technology are used to achieve a good load balancing strategy. Cloud partitioning helps to simplify the load balancing problem. The algorithms from networking and data mining are used to achieve cloud partitions. A cloud partitioning concepts introduced here is used in load balancing model for the public cloud with a switch mechanism to choose different strategies for different situations. The algorithm applies the round robin and game theory after cloud partitioning as the load balancing strategy to improve the efficiency in the public cloud environment.