Abstract
The introduction of Network Functions Virtualization (NFV) and Software Defined Networking (SDN) to mobile networks enables operators to control and dimension their network resources with higher granularity and on a more fine-grained time scale. This dynamic operation allows operators to cope with the rapid growth of traffic and user demands, in addition to reducing costs. In this paper, we model and analyze a realization of the mobile core network as virtualized software instances running in datacenters (DC) and SDN transport network elements (NE), with respect to time-varying traffic demands. It is our objective to determine the datacenters placement that achieves the minimum transport network load considering time-varying traffic and under a data-plane delay budget. A second objective is to achieve power savings, considering the variation of traffic over time, by using the available datacenter resources or by acquiring additional resources.
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References
Nokia Solutions and Networks, Enabling Mobile Broadband Growth, white paper, December 2013. https://nsn.com/system/files/document/epc_white_paper.pdf
Feamster, N., Rexford, J., Zegura, E.: The road to SDN. Queue - Large-Scale Implementations 11, 20–40 (2013)
Jain, S., Zhu, M., Zolla, J., Hölzle, U., Stuart, S., Vahdat, A., Kumar, A., Mandal, S., Ong, J., Poutievski, L., Singh, A., Venkata, S., Wanderer, J., Zhou, J.: B4: experience with a globally-deployed software defined WAN. In: Proceedings of the ACM SIGCOMM 2013 Conference, New York, USA, pp. 3–14 (2013)
Wang, G., Ng, T.E., Shaikh, A.: Programming your network at run-time for big data applications. In: Proceedings of the First Workshop on Hot Topics in Software Defined Networks - HotSDN 2012, New York, USA, pp. 103–108 (2012)
Blenk, A., Kellerer, W.: Traffic pattern based virtual network embedding. In: Proceedings of CoNEXT Student Workhop (2013)
Nokia Solutions and Networks, Technology Vision for the Gigabit Experience, white paper, June 2013. https://nsn.com/file/26156/nsn-technology-vision-2020-white-paper?download
Banerjee, A., Chen, X., Erman, J., Gopalakrishnan, V., Lee, S., Van Der Merwe, J.: MOCA: a lightweight mobile cloud offloading architecture. In: Proceedings of the Eighth ACM International Workshop on Mobility in the Evolving Internet Architecture - MobiArch 2013, New York, New York, USA, p. 11 (2013)
Hampel, G., Steiner, M., Bu, T.: Applying software-defined networking to the telecom domain. In: INFOCOM, WKSHPS (2013)
Basta, A., Kellerer, W., Hoffmann, M., Hoffmann, K., Schmidt, E.-D.: A virtual SDN-enabled LTE EPC Architecture: a case study for S-/P-Gateways functions. In: IEEE SDN for Future Networks and Services (SDN4FNS) (2013)
Basta, A., Kellerer, W., Hoffmann, M., Morper, H.-J., Hoffmann, K.: Applying NFV and SDN to LTE mobile core gateways; the functions placement problem. In: 4th Workshop on All Things Cellular, SIGCOMM (2014)
Erman, J., Ramakrishnan, K.: Understanding the super-sized traffic of the super bowl. In: Proceedings of the 2013 Conference on Internet Measurement Conference - IMC 2013, pp. 353–360 (2013)
Gehlen, V., Finamore, A., Mellia, M., Munafò, M.M.: Uncovering the big players of the web. In: Pescapè, A., Salgarelli, L., Dimitropoulos, X. (eds.) TMA 2012. LNCS, vol. 7189, pp. 15–28. Springer, Heidelberg (2012)
Qian, L., Wu, B., Zhang, R., Zhang, W., Luo, M.: Characterization of 3G data-plane traffic and application towards centralized control and management for software defined networking. In: 2013 IEEE International Congress on Big Data, pp. 278–285, June 2013
Rossi, C., Vallina-Rodriguez, N., Erramilli, V., Grunenberger, Y., Gyarmati, L., Laoutaris, N., Stanojevic, R., Papagiannaki, K., Rodriguez, P.: 3GOL: power-boosting ADSL using 3G onloading. In: Proceedings of the ninth ACM Conference on Emerging Networking Experiments and Technologies - CoNEXT 2013, New York, NY, USA, pp. 187–198 (2013)
Zhang, Y., Arvidsson, A.: Understanding the characteristics of cellular data traffic. ACM SIGCOMM Comput. Commun. Rev. 42, 461 (2012)
LTE Coverage Map. http://www.mosaik.com/marketing/cellmaps/, http://platform.cellmaps.com/
Gurobi Optimizer. http://www.gurobi.com/products/gurobi-optimizer/
UMTS Forum Report 44 Mobile traffic forecasts 2010–2020, pp. 63, January2011. http://www.umts-forum.org/component/option,com_docman/task,doc_download/gid,2537/Itemid,213/
Annual estimates of the resident population: April 1, 2010 to july 1, 2013 - united states - metropolitan and micropolitan statistical area; and for puerto rico (2014). http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk. Accessed 05/09/2014
MaxMind, MaxMind GeoLocations, 2014. http://dev.maxmind.com/geoip/legacy/geolite/. Accessed 05/09/2014
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Basta, A., Blenk, A., Hoffmann, M., Morper, H.J., Hoffmann, K., Kellerer, W. (2015). SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-Varying Traffic Patterns. In: Agüero, R., Zinner, T., Goleva, R., Timm-Giel, A., Tran-Gia, P. (eds) Mobile Networks and Management. MONAMI 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 141. Springer, Cham. https://doi.org/10.1007/978-3-319-16292-8_5
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DOI: https://doi.org/10.1007/978-3-319-16292-8_5
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