Klaus-Tycho Foerster
Stefan Schmid
Skip Abstract Section
Abstract
Emerging optical technologies introduce opportunities to recon gure network topologies at runtime. The resulting topological exibilities can be exploited to design novel demand-aware and self-adjusting networks. This paper provides an overview of the algorithmic problems introduced by this technology, and surveys rst solutions.
- A. Akella, T. Benson, B. Chandrasekaran, C. Huang, B. Maggs, and D. Maltz. A universal approach to data center network design. In Proceedings of the 2015 International Conference on Distributed Computing and Networking, page 41. ACM, 2015. Google Scholar
Digital Library
- M. Al-Fares, A. Loukissas, and A. Vahdat. A scalable, commodity data center network architecture. In SIGCOMM. ACM, 2008. Google ScholarDigital Library
- D. Alistarh, H. Ballani, P. Costa, A. Funnell, J. Benjamin, P. M. Watts, and B. Thomsen. A high-radix, low-latency optical switch for data centers. Computer Communication Review, 45(5):367{368, 2015. Google ScholarDigital Library
- M. Alizadeh, S. Yang, M. Sharif, S. Katti, N. McKeown, B. Prabhakar, and S. Shenker. pfabric: Minimal near-optimal datacenter transport. In Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, SIGCOMM '13, New York, NY, USA, 2013. ACM. Google ScholarDigital Library
- Arista. White Paper: A laymans guide to Layer 1 Switching. https://www.arista.com/assets/data/pdf/Whitepapers/Laymans-Guide-White-Paper.pdf, Dec. 2018.Google Scholar
- C. Avin, B. Haeupler, Z. Lotker, C. Scheideler, and S. Schmid. Locally self-adjusting tree networks. In Proc. 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2013. Google ScholarDigital Library
- C. Avin, A. Hercules, A. Loukas, and S. Schmid. rdan: Toward robust demand-aware network designs. In Information Processing Letters (IPL), 2018.Google ScholarCross Ref
- C. Avin, K. Mondal, and S. Schmid. Demand-aware network designs of bounded degree. In DISC, 2017.Google Scholar
- C. Avin, K. Mondal, and S. Schmid. Push-down trees: Optimal self-adjusting complete trees. CoRR, abs/1807.04613v1, 2018.Google Scholar
- C. Avin, K. Mondal, and S. Schmid. Demand-aware network design with minimal congestion and route lengths. In Proc. IEE INFOCOM, 2019.Google ScholarDigital Library
- C. Avin and S. Schmid. Toward demand-aware networking: A theory for self-adjusting networks. In ACM SIGCOMM Computer Communication Review (CCR), 2018. Google ScholarDigital Library
- C. Avin and S. Schmid. Renets: Toward statically optimal self-adjusting networks. CoRR, arXiv:1904.03263, 2019.Google Scholar
- N. H. Azimi, Z. A. Qazi, H. Gupta, V. Sekar, S. R. Das, J. P. Longtin, H. Shah, and A. Tanwer. Fire y: a recon gurable wireless data center fabric using free-space optics. In SIGCOMM. ACM, 2014. Google ScholarDigital Library
- J. Bao, D. Dong, B. Zhao, Z. Luo, C.Wu, and Z. Gong. Flycast: Free-space optics accelerating multicast communications in physical layer. Computer Communication Review, 45(5):97{98, 2015. Google ScholarDigital Library
- T. Benson, A. Akella, and D. A. Maltz. Network traffic characteristics of data centers in the wild. In Proc. ACM SIGCOMM Conference on Internet Measurement (IMC), pages 267{280. ACM, 2010. Google ScholarDigital Library
- T. Benson, A. Anand, A. Akella, and M. Zhang. Understanding data center traffic characteristics. In Proc. 1st ACM Workshop on Research on Enterprise Networking (WREN), pages 65{72. ACM, 2009. Google ScholarDigital Library
- G. Birkho . Tres observaciones sobre el algebra lineal. Univ. Nac. Tucuman, Ser. A, 5:147{ 154, 1946.Google Scholar
- A. Celik, B. Shihada, and M. Alouini. Wireless data center networks: Advances, challenges, and opportunities. CoRR, abs/1811.11717, 2018.Google Scholar
- A. Chatzieleftheriou, S. Legtchenko, H. Williams, and A. I. T. Rowstron. Larry: Practical network recon gurability in the data center. In NSDI, pages 141{156. USENIX Association, 2018. Google ScholarDigital Library
- K. Chen, A. Singla, A. Singh, K. Ramachandran, L. Xu, Y. Zhang, X. Wen, and Y. Chen. OSA: an optical switching architecture for data center networks with unprecedented exibility. IEEE/ACM Trans. Netw., 22(2):498{511, 2014. Google ScholarDigital Library
- K. Chen, X. Wen, X. Ma, Y. Chen, Y. Xia, C. Hu, Q. Dong, and Y. Liu. Toward A scalable, fault-tolerant, high-performance optical data center architecture. IEEE/ACM Trans. Netw., 25(4):2281{2294, 2017. Google ScholarDigital Library
- L. Chen, K. Chen, Z. Zhu, M. Yu, G. Porter, C. Qiao, and S. Zhong. Enabling wide-spread communications on optical fabric with megaswitch. In NSDI, pages 577{593. USENIX, 2017. Google ScholarDigital Library
- C. Clos. A study of non-blocking switching networks. The Bell System Technical Journal, 32(2):406{424, March 1953.Google ScholarCross Ref
- E. D. Demaine and M. Zadimoghaddam. Minimizing the diameter of a network using shortcut edges. In SWAT, 2010. Google ScholarDigital Library
- N. Devanur, J. Kulkarni, G. Ranade, M. Ghobadi, R. Mahajan, and A. Phanishayee. Stable matching algorithm for an agile recon gurable data center interconnect (MSR-TR-2016--1140). Technical report, Microsoft Research, June 2016.Google Scholar
- M. Dong, Q. Li, D. Zarchy, P. B. Godfrey, and M. Schapira. PCC: Re-architecting Congestion Control for Consistent High Performance. NSDI'15, 2015. Google ScholarDigital Library
- V. Dukic, S. A. Jyothi, B. Karlas, M. Owaida, C. Zhang, and A. Singla. Is advance knowledge of ow sizes a plausible assumption? In NSDI, pages 565{580. USENIX Association, 2019. Google ScholarDigital Library
- R. Durairajan, P. Barford, J. Sommers, and W. Willinger. Grey ber: A system for providing exible access to wide-area connectivity. CoRR, abs/1807.05242, 2018.Google Scholar
- J. Edmonds. Paths, trees and owers. Canad. J. Math, (17):449{467, 1965.Google ScholarCross Ref
- N. Farrington, A. Forencich, G. Porter, P. . Sun, J. E. Ford, Y. Fainman, G. C. Papen, and A. Vahdat. A multiport microsecond optical circuit switch for data center networking. IEEE Photonics Technology Letters, 25(16):1589{1592, Aug 2013.Google ScholarCross Ref
- N. Farrington, G. Porter, Y. Fainman, G. Papen, and A. Vahdat. Hunting mice with microsecond circuit switches. In HotNets, pages 115{120. ACM, 2012. Google ScholarDigital Library
- N. Farrington, G. Porter, S. Radhakrishnan, H. H. Bazzaz, V. Subramanya, Y. Fainman, G. Papen, and A. Vahdat. Helios: a hybrid electrical/optical switch architecture for modular data centers. In SIGCOMM. ACM, 2010. Google ScholarDigital Library
- T. Fenz, K.-T. Foerster, S. Schmid, and A. Villedieu. Efficient non-segregated routing for recon gurable demand-aware networks. In 18th IFIP Networking Conference (IFIP Network- ing), May 2019.Google Scholar
- K.-T. Foerster, M. Ghobadi, and S. Schmid. Characterizing the algorithmic complexity of recon gurable data center architectures. In ANCS. IEEE/ACM, 2018. Google ScholarDigital Library
- K.-T. Foerster, M. Pacut, and S. Schmid. On the complexity of non-segregated routing in recon gurable data center architectures. ACM SIGCOMM Computer Communication Review (CCR), 2019. Google ScholarDigital Library
- D. Gale and L. S. Shapley. College admissions and the stability of marriage. The American Mathematical Monthly, 69(1):9{15, 1962.Google ScholarCross Ref
- M. Ghobadi, R. Mahajan, A. Phanishayee, P.-A. Blanche, H. Rastegarfar, M. Glick, and D. Kilper. Design of mirror assembly for an agile recon gurable data center interconnect (MSR-TR-2016--1139). Technical report, June 2016.Google Scholar
- M. Ghobadi, R. Mahajan, A. Phanishayee, N. R. Devanur, J. Kulkarni, G. Ranade, P. Blanche, H. Rastegarfar, M. Glick, and D. C. Kilper. Projector: Agile recon gurable data center interconnect. In SIGCOMM. ACM, 2016. Google ScholarDigital Library
- S. Ghorbani, Z. Yang, P. Godfrey, Y. Ganjali, and A. Firoozshahian. Drill: Micro load balancing for low-latency data center networks. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication, pages 225{238. ACM, 2017. Google ScholarDigital Library
- A. Goel, M. Kapralov, and S. Khanna. Perfect matchings in o(nlog n) time in regular bipartite graphs. SIAM J. Comput., 42(3):1392{1404, 2013.Google ScholarCross Ref
- A. G. Greenberg, J. R. Hamilton, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. A. Maltz, P. Patel, and S. Sengupta. VL2: a scalable and exible data center network. In SIGCOMM, pages 51{62. ACM, 2009. Google ScholarDigital Library
- C. Guo, G. Lu, D. Li, H. Wu, X. Zhang, Y. Shi, C. Tian, Y. Zhang, and S. Lu. Bcube: a high performance, server-centric network architecture for modular data centers. In SIGCOMM, pages 63{74. ACM, 2009. Google ScholarDigital Library
- M. Hall, V. Chidambaram, and R. Durairajan. vFiber: Virtualizing Unused Optical Fibers (Extended Abstract). In NSDI, 2018.Google Scholar
- D. Halperin, S. Kandula, J. Padhye, P. Bahl, and D. Wetherall. Augmenting data center networks with multi-gigabit wireless links. In SIGCOMM. ACM, 2011. Google ScholarDigital Library
- A. S. Hamza, J. S. Deogun, and D. R. Alexander. Wireless communication in data centers: A survey. IEEE Communications Surveys and Tutorials, 18(3):1572{1595, 2016.Google ScholarCross Ref
- X. S. Huang, X. S. Sun, and T. S. E. Ng. Sun ow: Efficient optical circuit scheduling for co ows. In CoNEXT, pages 297{311. ACM, 2016. Google ScholarDigital Library
- S. Jia, X. Jin, G. Ghasemiesfeh, J. Ding, and J. Gao. Competitive analysis for online scheduling in software-de ned optical wan. In Proc. IEEE INFOCOM, 2017.Google Scholar
- X. Jin, Y. Li, D. Wei, S. Li, J. Gao, L. Xu, G. Li, W. Xu, and J. Rexford. Optimizing bulk transfers with software-de ned optical wan. In Proc. ACM SIGCOMM, 2016. Google ScholarDigital Library
- P. Kalmbach, J. Zerwas, P. Babarczi, A. Blenk, W. Kellerer, and S. Schmid. Empowering self-driving networks. In Proc. ACM SIGCOMM 2018 Workshop on Self-Driving Networks (SDN), 2018. Google ScholarDigital Library
- S. Kandula, J. Padhye, and P. Bahl. Flyways to de-congest data center networks. In HotNets. ACM SIGCOMM, 2009.Google Scholar
- S. Kandula, S. Sengupta, A. Greenberg, P. Patel, and R. Chaiken. The nature of data center traffic: measurements & analysis. In Proc. 9th ACM SIGCOMM Conference on Internet Measurement (IMC), pages 202{208. ACM, 2009. Google ScholarDigital Library
- S. Kassing, A. Valadarsky, G. Shahaf, M. Schapira, and A. Singla. Beyond fat-trees without antennae, mirrors, and disco-balls. In SIGCOMM, pages 281{294. ACM, 2017. Google ScholarDigital Library
- S. Kim, D. Cha, Q. Pei, and K. Geary. Polymer optical waveguide switch using thermo-optic total-internal-re ection and strain-e ect. IEEE Photonics Technology Letters, 22(4):197{199, Feb 2010.Google ScholarCross Ref
- X. Li and M. Hamdi. On scheduling optical packet switches with recon guration delay. IEEE Journal on Selected Areas in Communications, 21(7):1156{1164, 2003. Google ScholarDigital Library
- H. Liu, F. Lu, A. Forencich, R. Kapoor, M. Tewari, G. M. Voelker, G. Papen, A. C. Snoeren, and G. Porter. Circuit switching under the radar with reactor. In NSDI. USENIX, 2014. Google ScholarDigital Library
- H. Liu, M. K. Mukerjee, C. Li, N. Feltman, G. Papen, S. Savage, S. Seshan, G. M. Voelker, D. G. Andersen, M. Kaminsky, G. Porter, and A. C. Snoeren. Scheduling techniques for hybrid circuit/packet networks. In CoNEXT, pages 41:1{41:13. ACM, 2015. Google ScholarDigital Library
- V. Liu, D. Halperin, A. Krishnamurthy, and T. E. Anderson. F10: A fault-tolerant engineered network. In NSDI. USENIX, 2013. Google ScholarDigital Library
- L. Luo, K.-T. Foerster, S. Schmid, and H. Yu. DaRTree: Deadline-aware Multicast Transfers in Recon gurable Wide-Area Networks. In 27th IEEE/ACM International Symposium on Quality of Service (IWQoS 2019), 2019. Google ScholarDigital Library
- W. M. Mellette, R. Das, Y. Guo, R. McGuinness, A. C. Snoeren, and G. Porter. Expanding across time to deliver bandwidth efficiency and low latency. CoRR, abs/1903.12307, 2019.Google Scholar
- W. M. Mellette and J. E. Ford. Scaling limits of free-space tilt mirror mems switches for data center networks. In Optical Fiber Communication Conference, pages M2B{1. Optical Society of America, 2015.Google Scholar
- W. M. Mellette and J. E. Ford. Scaling limits of mems beam-steering switches for data center networks. Journal of Lightwave Technology, 33(15):3308{3318, Aug 2015.Google ScholarCross Ref
- W. M. Mellette, R. McGuinness, A. Roy, A. Forencich, G. Papen, A. C. Snoeren, and G. Porter. Rotornet: A scalable, low-complexity, optical datacenter network. In SIGCOMM. ACM, 2017. Google ScholarDigital Library
- W. M. Mellette, G. M. Schuster, G. Porter, G. Papen, and J. E. Ford. A scalable, partially con gurable optical switch for data center networks. Journal of Lightwave Technology, 35(2):136{144, Jan 2017.Google ScholarCross Ref
- W. M. Mellette, A. C. Snoeren, and G. Porter. Toward optical switching in the data center (invited paper). In Proc. HPSR, 2018.Google ScholarCross Ref
- A. Meyerson and B. Tagiku. Minimizing average shortest path distances via shortcut edge addition. In Proc. APPROX/RANDOM, pages 272{285, Berlin, Heidelberg, 2009. Google ScholarDigital Library
- J. Misra and D. Gries. A constructive proof of vizing's theorem. Inf. Process. Lett., 41(3):131{ 133, 1992. Google ScholarDigital Library
- M. Moshref, M. Yu, R. Govindan, and A. Vahdat. Trumpet: Timely and precise triggers in data centers. In Proceedings of the 2016 ACM SIGCOMM Conference, pages 129{143. ACM, 2016. Google ScholarDigital Library
- M. Müller-Hannemann and A. Schwartz. Implementing weighted b-matching algorithms: Insights from a computational study. ACM Journal of Experimental Algorithmics, 5:8, 2000. Google ScholarDigital Library
- M. Naor and U. Wieder. Novel architectures for p2p applications: the continuous-discrete approach. ACM Transactions on Algorithms (TALG), 3(3):34, 2007. Google ScholarDigital Library
- M. Noormohammadpour and C. S. Raghavendra. Datacenter traffic control: Understanding techniques and trade-o s. IEEE Communications Surveys & Tutorials, 2017.Google ScholarCross Ref
- K. Obraczka and P. Danzig. Finding low-diameter, low edge-cost, networks. Univ. Southern California Technical Report, 1997.Google Scholar
- M. Papagelis, F. Bonchi, and A. Gionis. Suggesting ghost edges for a smaller world. In Proc. 20th ACM International Conference on Information and Knowledge Management, pages 2305{2308, 2011. Google ScholarDigital Library
- N. Parotsidis, E. Pitoura, and P. Tsaparas. Selecting shortcuts for a smaller world. In Proc. SIAM International Conference on Data Mining, pages 28{36. SIAM, 2015.Google Scholar
- B. Peres, O. A. de Oliveira Souza, O. Goussevskaia, C. Avin, and S. Schmid. Distributed self-adjusting tree networks. In INFOCOM. IEEE, 2019.Google Scholar
- B. Peres, O. Goussevskaia, S. Schmid, and C. Avin. Concurrent self-adjusting distributed tree networks. In Proc. International Symposium on Distributed Computing (DISC), 2017.Google Scholar
- G. Porter, R. D. Strong, N. Farrington, A. Forencich, P. Sun, T. Rosing, Y. Fainman, G. Papen, and A. Vahdat. Integrating microsecond circuit switching into the data center. 2013.Google Scholar
- K. Ramachandran, R. Kokku, R. Mahindra, and S. Rangarajan. 60 ghz data-center networking: Wireless ! worry less? NEC Research Paper, 2008.Google Scholar
- N. A. Riza and P. J. Marraccini. Power smart in-door optical wireless link applications. In 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC), pages 327{332. IEEE, 2012.Google Scholar
- A. Roy, H. Zeng, J. Bagga, G. Porter, and A. C. Snoeren. Inside the social network's (datacenter) network. In ACM SIGCOMM Computer Communication Review, volume 45. ACM, 2015. Google ScholarDigital Library
- S. Salman, C. Strei er, H. Chen, T. Benson, and A. Kadav. Deepconf: Automating data center network topologies management with machine learning. In Proceedings of the 2018 Workshop on Network Meets AI & ML, NetAI'18, pages 8{14, New York, NY, USA, 2018. ACM. Google ScholarDigital Library
- S. Schmid, C. Avin, C. Scheideler, M. Borokhovich, B. Haeupler, and Z. Lotker. Splaynet: Towards locally self-adjusting networks. IEEE/ACM Trans. Netw., 24(3):1421{1433, 2016. Google ScholarDigital Library
- A. Singh, J. Ong, A. Agarwal, G. Anderson, A. Armistead, R. Bannon, S. Boving, G. Desai, B. Felderman, P. Germano, et al. Jupiter rising: A decade of clos topologies and centralized control in google's datacenter network. ACM SIGCOMM Computer Communication Review (CCR), 45(4):183{197, 2015. Google ScholarDigital Library
- R. Singh, M. Ghobadi, K. Foerster, M. Filer, and P. Gill. Run, walk, crawl: Towards dynamic link capacities. In HotNets. ACM, 2017. Google ScholarDigital Library
- R. Singh, M. Ghobadi, K.-T. Foerster, M. Filer, and P. Gill. Radwan: Rate adaptive wide area network. In SIGCOMM. ACM, 2018. Google ScholarDigital Library
- A. Singla. Fat-free topologies. In HotNets, pages 64{70. ACM, 2016. Google ScholarDigital Library
- A. Singla, C. Hong, L. Popa, and P. B. Godfrey. Jelly sh: Networking data centers, randomly. In HotCloud. USENIX Association, 2011. Google ScholarDigital Library
- A. Singla, C. Hong, L. Popa, and P. B. Godfrey. Jelly sh: Networking data centers randomly. In NSDI. USENIX, 2012. Google ScholarDigital Library
- A. Singla, A. Singh, K. Ramachandran, L. Xu, and Y. Zhang. Proteus: a topology malleable data center network. In HotNets. ACM, 2010. Google ScholarDigital Library
- X. S. Sun and T. S. E. Ng. When creek meets river: Exploiting high-bandwidth circuit switch in scheduling multicast data. In ICNP, pages 1{6. IEEE Computer Society, 2017.Google Scholar
- X. S. Sun, Y. Xia, S. Dzinamarira, X. S. Huang, D. Wu, and T. S. E. Ng. Republic: Data multicast meets hybrid rack-level interconnections in data center. In ICNP, pages 77{87. IEEE Computer Society, 2018.Google Scholar
- F. Testa and L. Pavesi, editors. Optical Switching in Next Generation Data Centers. Springer, 2018. Google ScholarDigital Library
- A. Valadarsky, G. Shahaf, M. Dinitz, and M. Schapira. Xpander: Towards optimalperformance datacenters. In CoNEXT, pages 205{219. ACM, 2016. Google ScholarDigital Library
- L. G. Valiant. A scheme for fast parallel communication. SIAM J. Comput., 11(2):350{361, 1982.Google ScholarCross Ref
- S. B. Venkatakrishnan, M. Alizadeh, and P. Viswanath. Costly circuits, submodular schedules and approximate carath--eodory theorems. In SIGMETRICS, pages 75{88. ACM, 2016. Google ScholarDigital Library
- S. B. Venkatakrishnan, M. Alizadeh, and P. Viswanath. Costly circuits, submodular schedules and approximate carath--eodory theorems. Queueing Syst., 88(3--4):311{347, 2018. Google ScholarDigital Library
- J. Von Neumann. A certain zero-sum two-person game equivalent to the optimal assignment problem. Contributions to the Theory of Games, 2(0):5{12, 1953.Google Scholar
- G. Wang, D. G. Andersen, M. Kaminsky, M. Kozuch, T. S. E. Ng, K. Papagiannaki, M. Glick, and L. B. Mummert. Your data center is a router: The case for recon gurable optical circuit switched paths. In HotNets. ACM SIGCOMM, 2009.Google Scholar
- G. Wang, D. G. Andersen, M. Kaminsky, K. Papagiannaki, T. S. E. Ng, M. Kozuch, and M. P. Ryan. c-through: part-time optics in data centers. In SIGCOMM, pages 327{338. ACM, 2010. Google ScholarDigital Library
- H. Wang, Y. Xia, K. Bergman, T. S. E. Ng, S. Sahu, and K. Sripanidkulchai. Rethinking the physical layer of data center networks of the next decade: using optics to enable efficient *-cast connectivity. Computer Communication Review, 43(3):52{58, 2013. Google ScholarDigital Library
- H. Wang, X. Yu, H. Xu, J. Fan, C. Qiao, and L. Huang. Integrating co ow and circuit scheduling for optical networks. IEEE Transactions on Parallel and Distributed Systems, 2019.Google ScholarCross Ref
- M. Wang, Y. Cui, S. Xiao, X. Wang, D. Yang, K. Chen, and J. Zhu. Neural network meets DCN: traffic-driven topology adaptation with deep learning. POMACS, 2(2):26:1{26:25, 2018. Google ScholarDigital Library
- W. Xia, P. Zhao, Y. Wen, and H. Xie. A survey on data center networking (DCN): infrastructure and operations. IEEE Communications Surveys and Tutorials, 19(1):640{656, 2017.Google ScholarCross Ref
- Y. Xia, T. S. E. Ng, and X. S. Sun. Blast: Accelerating high-performance data analytics applications by optical multicast. In INFOCOM, pages 1930{1938. IEEE, 2015.Google Scholar
- Y. Xia, X. S. Sun, S. Dzinamarira, D. Wu, X. S. Huang, and T. S. Eugene Ng. A tale of two topologies: Exploring convertible data center network architectures with at-tree. In SIGCOMM. ACM, 2017. Google ScholarDigital Library
- X. Zhou, Z. Zhang, Y. Zhu, Y. Li, S. Kumar, A. Vahdat, B. Y. Zhao, and H. Zheng. Mirror mirror on the ceiling: exible wireless links for data centers. In SIGCOMM. ACM, 2012. Google ScholarDigital Library
- D. Zhuo, M. Ghobadi, R. Mahajan, K.-T. Foerster, A. Krishnamurthy, and T. E. Anderson. Understanding and mitigating packet corruption in data center networks. In SIGCOMM. ACM, 2017. Google ScholarDigital Library
- S. Zou, X. Wen, K. Chen, S. Huang, Y. Chen, Y. Liu, Y. Xia, and C. Hu. Virtualknotter: Online virtual machine shuffling for congestion resolving in virtualized datacenter. Computer Networks, 67:141{153, 2014.Google ScholarCross Ref
Recommendations
Performance issues and solutions in SDN-based data center: a survey
AbstractDue to the development of the Internet and the smart end systems such as smartphones, portable laptop, and other smart mobile devices, as well as the emergence of concepts such as cloud computing, social networks, and Internet of Things, 4G and 5G ...
Hybrid SDN Networks: A Survey of Existing Approaches
Software defined networking (SDN) decouples the control plane from the data plane of forwarding devices. This separation provides several benefits, including the simplification of network management and control. However, due to a variety of reasons, such ...
Performance evaluation of a hybrid IP/SDN network in data centre network architectures
The current Internet is facing many challenges to accommodate the growing demands of cloud computing. Software‐defined networking (SDN) is an emerging paradigm, proposed to be used in this context in order to investigate these issues. SDN virtualises ...
Comments