Traffic Intensity Based Energy Efficiency Architecture for Data-Centers
The world is moving towards cost-effective and time-constrained solutions. The uses of applications and automated devices have been growing day by day. In computing, resources available in personal computers are limited due to less storage capacity and lower computation speeds. Using all applications on personal systems may not be cost-effective. Therefore, the trends of online storage and computing have become popular. On the other hand, there must be some serving end for these users. One of the major issues, due to the growth of data centers is the increase in power usage of a larger number of servers and network devices. These devices are power-hungry and consume energy even during idle hours even if there are no network traffic loads. The cost of energy used and dissipated is increased in this situation. In this paper, we have given a solution for efficient usage of energy efficiency in data center networks based on traffic loads. We have proposed a model to use traffic intensity to decide the number of machines inactive conditions so that we can save the energy consumption in data center networks. We have implemented this proposed model and simulated it to validate it.