Efficient Parallel Processing on Public Cloud Servers using Load Balancing

Abstract

Load balancing in the cloud differs from classical thinking on load-balancing architecture and implementation by using commodity servers to perform the load balancing. This provides for new opportunities and economies-of-scale, as well as presenting its own unique set of challenges. This paper proposes load balancer model based on cloud partitioning concept. The model uses switch mechanism depending upon the load status at the cloud partition when the request is made. Switch mechanism allows choosing different strategies in different situations. This load balancing strategy applies to the public cloud to improve efficiency in the public cloud environment.