A performed load balancing algorithm for public Cloud computing using ant colony optimization

In the space of a few years, Cloud computing has experienced remarkable growth. Indeed, its economic model based on demand of hardware and software according to technical criteria (CPU utilization, memory, bandwidth…) or package has strongly contributed to the liberalization of computing resources in the world. However, the development of Cloud computing requires the optimization of performance of the different services offered by Cloud providers in order to ensure a high level of security, availability and responsiveness. One major aspect for dealing with performance issues in Cloud computing is the load balancing. In fact, an efficient load balancing contributes to the decrease of costs and maximizes availability of resources. Through this paper, we study various research which has treated the load balancing in the Cloud computing. In a second step, we propose an improved load balancing architecture and algorithm for Cloud computing which aims to allow a better response time.