Abstract
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.
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References
Zhou, H., Mao, S., & Agrawal, P. (2015). Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks. Digital Communications and Networks, 1(3), 171–180.
Peng, M., Li, Y., Jiang, J., Li, J., & Wang, C. (2014). Heterogeneous cloud radio access networks: A new perspective for enhancing spectral and energy efficiencies. arXiv:1410.3028
Luo, C., Guo, S., Guo, S., Yang, L. T., Min, G., & Xie, X. (2014). Green communication in energy renewable wireless mesh networks: Routing, rate control, and power allocation. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3211–3220.
Nikoukar, A., Hwang, I.-S., Liem, A. T., & Wang, C.-J. (2015). Qos-aware energy-efficient mechanism for sleeping mode onus in enhanced epon. Photonic Network Communications, 30(1), 59–70.
Hiremath, R. B., Kumar, B., Balachandra, P., & Ravindranath, N. H. (2011). Implications of decentralised energy planning for rural India. Journal of Sustainable Energy & Environment, 2, 31–40.
Hiremath, R. B., Shikha, S., & Ravindranath, N. H. (2007). Decentralized energy planning; Modeling and application-a review. Renewable and Sustainable Energy Reviews, 11(5), 729–752.
Deshmukh, M. K., & Deshmukh, S. S. (2008). Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 12(1), 235–249.
Humar, I., Ge, X., Xiang, L., Jo, M., Chen, M., & Zhang, J. (2011). Rethinking energy efficiency models of cellular networks with embodied energy. IEEE Network, 25(2), 40–49.
Mukherjee, B., Ou, C. S., Zhu, H., Zhu, K., Singhal, N., & Yao, S. (2004). Traffic grooming in mesh optical networks. In Optical Fiber Communication Conference, page ThG1. Optical Society of America
Huang, S., & Dutta, R. (2007). Dynamic traffic grooming: The changing role of traffic grooming. IEEE Communications Surveys & Tutorials, 9(1), 32–50.
Zheng, Z., Wang, J., & Wang, X. (2009). Onu placement in fiber-wireless (fiwi) networks considering peer-to-peer communications. In GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, pp. 1–7. IEEE
Ghazisaidi, N., Maier, M., & Assi, C. M. (2009). Fiber-wireless (fiwi) access networks: A survey. IEEE Communications Magazine, 47(2), 160–167.
Hasan, M. M., Farahmand, F., & Jue, J. P. (2010). Energy-awareness in dynamic traffic grooming. In Optical Fiber Communication (OFC), collocated National Fiber Optic Engineers Conference, 2010 Conference on (OFC/NFOEC), pp. 1–3. IEEE
Zhu, K., & Mukherjee, B. (2002). Traffic grooming in an optical wdm mesh network. IEEE Journal on Selected Areas in Communications, 20(1), 122–133.
Shen, G., & Tucker, R. S. (2009). Energy-minimized design for ip over wdm networks. Journal of Optical Communications and Networking, 1(1), 176–186.
Liu, L., & Ramamurthy, B. (2011). Rightsizing bundle link capacities for energy savings in the core network. In Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE, pp. 1–6. IEEE
Idzikowski, F., Orlowski, S., Raack, C., Woesner, H., & Wolisz, A. (2010). Saving energy in ip-over-wdm networks by switching off line cards in low-demand scenarios. In 2010 14th Conference on Optical Network Design and Modeling (ONDM), pp. 1–6. IEEE
Chabarek, J., Sommers, J., Barford, P., Estan, C., Tsiang, D., & Wright, S. (2008). Power awareness in network design and routing. In INFOCOM 2008. The 27th Conference on Computer Communications. IEEE, pp. 457–465. IEEE
Gupta, M., & Singh, S. (2003). Greening of the internet. In Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, SIGCOMM ’03, pp. 19–26
Cianfrani, A., Eramo, V., Listanti, M., Marazza, M., & Vittorini, E. (2010). An energy saving routing algorithm for a green ospf protocol. In INFOCOM IEEE Conference on Computer Communications Workshops, 2010, pp. 1–5. IEEE
Yang, Y., Lim, C., & Nirmalathas, A. (2011). Comparison of energy consumption of integrated optical-wireless access networks. In National Fiber Optic Engineers Conference, p. JWA082. Optical Society of America
Chiaraviglio, L., Mellia, M., & Neri, F. (2012). Minimizing isp network energy cost: Formulation and solutions. IEEE/ACM Trans. Netw., 20(2), April
Rehmani, M. H., Reisslein, M., Rachedi, A., Erol-Kantarci, M., & Radenkovic, M. (2018). Integrating renewable energy resources into the smart grid: Recent developments in information and communication technologies. IEEE Transactions on Industrial Informatics, 14(7), 2814–2825.
Erol-Kantarci, M., & Mouftah, H. T. (2014). Overlay energy circle formation for cloud data centers with renewable energy futures contracts. In 2014 IEEE Symposium on Computers and Communications (ISCC), pp. 1–6. IEEE
Ren, C., Wang, D., Urgaonkar, B., & Sivasubramaniam, A. (2012). Carbon-aware energy capacity planning for datacenters. In 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 391–400. IEEE
Nguyen, K.-K., Cheriet, M., Lemay, M., Savoie, M., & Ho, B. (2013). Powering a data center network via renewable energy: A green testbed. IEEE Internet Computing, 17(1), 40–49.
Lemay, M., Nguyen, K.-K., Arnaud, B. S., & Cheriet, M. (2012). Toward a zero-carbon network: Converging cloud computing and network virtualization. IEEE Internet Computing, 16(6), 51–59.
Yoro, W., Chahed, T., El-Tabach, M., En-Najjary, T., & Gati, A. (2017). Service-oriented sharing of energy in wireless access networks using shapley value. Computer Networks, 113, 46–57.
Ghamkhari, M., & Mohsenian-Rad, H. (2013). Energy and performance management of green data centers: A profit maximization approach. IEEE Transactions on Smart Grid, 4(2), 1017–1025.
Schöndienst, T., & Vokkarane, V. M. (2014). Renewable energy-aware grooming in optical networks. Photonic Network Communications, 28(1), 71–81.
Wu, J., Zhang, Y., Zukerman, M., & Yung, E.K.-N. (2015). Energy-efficient base-stations sleep-mode techniques in green cellular networks: A survey. IEEE Communications Surveys & Tutorials, 17(2), 803–826.
Chamola, V., Sikdar, B., & Krishnamachari, B. (2017). Delay aware resource management for grid energy savings in green cellular base stations with hybrid power supplies. IEEE Transactions on Communications, 65(3), 1092–1104.
Farooq, M. J., Ghazzai, H., Kadri, A., ElSawy, H., & Alouini, M.-S. (2017). A hybrid energy sharing framework for green cellular networks. IEEE Transactions on Communications, 65(2), 918–934.
Chowdhury, P., Tornatore, M., Sarkar, S., & Mukherjee, B. (2009). Towards green broadband access networks. In GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, pp. 1–6. IEEE
Musznicki, B., Tomczak, M., & Zwierzykowski, P. (2012). Dijkstra-based localized multicast routing in wireless sensor networks. In 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), pp. 1–6. IEEE
Mineraud, J., Wang, L., Balasubramaniam, S., & Kangasharju, J. (2014) . Renewable energy-aware information-centric networking. arXiv:1412.6382
Han, P., Guo, L., Liu, Y., Hou, J., & Han, X. (2016). Joint wireless and optical power states scheduling for green multi-radio fiber-wireless access network. Journal of Lightwave Technology, 34(11), 2610–2623.
Chamola, V., Sikdar, B., & Krishnamachari, B. (2016). Delay aware resource management for grid energy savings in green cellular base stations with hybrid power supplies. IEEE Transactions on Communications, 65(3), 1092–1104.
Li, W., Kanso, A. (2015). Comparing containers versus virtual machines for achieving high availability. In 2015 IEEE International Conference on Cloud Engineering, pp. 353–358. IEEE
Shen, G., Lui, Y., & Bose, S. K. (2014). Follow the sun, follow the wind lightpath virtual topology reconfiguration in ip over wdm network. Journal of Lightwave Technology, 32(11), 2094–2105.
Dong, X., El-Gorashi, T., & Elmirghani, J. M. H. (2011). Ip over wdm networks employing renewable energy sources. Journal of Lightwave Technology, 29(1), 3–14.
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Naik, D., Bauri, A. & De, T. Renewable Energy Aware Traffic Grooming in Hybrid Optical and WiMAX Networks. Wireless Pers Commun 123, 2317–2339 (2022). https://doi.org/10.1007/s11277-021-09243-z
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DOI: https://doi.org/10.1007/s11277-021-09243-z