Renewable Energy Aware Traffic Grooming in Hybrid Optical and WiMAX Networks

Hybrid networks have recently received a lot of attention as a means to address some of the issues that standard access networks face. The hybrid network formed by connecting back-end network with an optical fiber network, and the front-end with a wireless network. Hybrid network combines the advantages of wireless networks, including higher flexibility, universality connectivity, and cost-effectiveness with the high bandwidth passive optical networks. However, the integrated approach is consumes lots of non renewable energy, to cater to the end-users. A huge amount of non-renewable energy is consumed to cater to a large geographical area. In order to minimize the energy consumption renewable energy resource are replaced with the renewable energy resources. The use of renewable resources has been researched separately for optical and wireless networks. In order to minimize the traditional fossil energy consumption for Hybrid networks, we have proposed renewable energy-aware traffic grooming algorithms for hybrid networks. In our work, each network node is capable of producing renewable energy in a decentralized way. Here brown energy is used as reserve energy since renewable energy sources are climate dependent. Our algorithms efficiently utilize the renewable energy available at the nodes to route the network traffic demands. Further, we have provided the optimized content placement algorithm for virtual machine in order to minimize the energy consumption and to meet the service level agreement at the data centers.