Renewable energy source based quality of service (QoS)-aware routing mechanism in cloud network

Cloud computing spreading in such a tremendous way that the energy consumption of the network and computing resources causes the emission of enormous quantities of CO 2 to the environment that force to manage energy consumption. Here, we propose modified sun-and-wind energy-aware routing (MSWEAR) new cloud network model and routing algorithm to find the location of Data Center (DC) geographically. So, the data can be moved efficiently and effectively which will hamper the environment lesser than the usage of non-renewable energy sources. An effort has been put to balance the delay versus low energy consumption among DC of cloud to optimize the CO 2 emission. The proposed mechanism improves the QoS through optimizing cost, load, and minimizing the reduction of carbon (emission of CO 2 ). We have tried to derive an ideal network based on MSWEAR algorithm to maximize the DCs usage of renewable energy sources and studied the performances. Our proposed mechanism is compared with the benchmark mechanisms and found performing better in its class.