QoS in the Cloud Computing: A Load Balancing Approach Using Simulated Annealing Algorithm

Recently, Cloud computing has known a fast growth in term of applications and the end users. In addition to the growth and evolution of the Cloud environment, many challenges that impact the performances of the Cloud applications emerged. One of these challenges is the Load Balancing between the virtual machines of a Datacenter, which is needed to balance the workload of each virtual machine while hoping to get a better Quality of services (QoS). Many approaches were proposed in hope of offering a good QoS. But due to the fact that the Cloud environment is exponentially evolving, these approaches became outdated. In this axis of research, we are proposing a new approach based on the Simulated Annealing and different parameters that affect the distribution of the tasks between the virtual machines. A simulation is also done to compare our approach with other existing algorithms using Cloudsim.