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Photonic Network Communications

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26.10.2021 | Original Paper

SEMTE: scalable and extended modular traffic engineering in software-defined data center networks

verfasst von: Mohammad Reza Majma, Emad Soltani Nejad

Erschienen in: Photonic Network Communications | Ausgabe 3/2021

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Abstract

The inappropriate distribution of traffic in high workload areas leads to congestion, packet loss, and poor service quality provided by data center networks (DCNs). In this paper, we have proposed a new method for traffic engineering (TE) as a modular approach. Based on this algorithm, depending on the type of traffic, when enough resources are not available for routing, the best path for that flow would be chosen. In the proposed algorithm, the less loaded paths for conduction of current are selected with regard to the present conditions as soon as a current is generated between two hosts, their position is identified in the DCN, and the paths between the two are obtained. We have simulated our algorithm by Mininet emulator. The results demonstrated that the SEMTE method performed an average of 30% better in energy consumption and 70% better in increasing maximum link utilization (MLU) compared to the conventional equal cost multi-path (ECMP) algorithm; however, there was some overhead on the system in terms of time of reading information from OpenFlow switches.

Nächster Artikel A novel flow routing algorithm based on non-dominated ranking and crowd distance sorting to improve the performance in SDN

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Jammal, M., Singh, T., Shami, A., Asal, R., Li, Y.: Software defined networking: state of the art and research challenges. Comput. Netw. 72, 74–98 (2014)CrossRef

Masoudi, R., Ghaffari, A.: Software defined networks: a survey. J. Netw. Comput. Appl. 67, 1–25 (2016)CrossRef

Kreutz, D., Ramos, F.M.V., Veríssimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)CrossRef

Al-Fares, M., Loukissas, A., Vahdat, A.: A scalable, commodity data center network architecture. ACM SIGCOMM Comput. Commun. Rev. 38(4), 63–74 (2008)CrossRef

Darabseh, A., Al-Ayyoub, M., Jararweh, Y., Benkhelifa, E., Vouk, M., Rindos, A.: SDDC: a software defined datacenter experimental. In: 2015 3rd International Conference on Future Internet of Things and Cloud, 24–26 August, pp. 189–194 (2015)

Benson, T., Anand, A., Akella, A., Zhang, M.: Understanding data center traffic characteristics. ACM SIGCOMM Comput. Commun. Rev. 40(1), 92–99 (2010)CrossRef

Hammadi, A., Mhamdi, L.: A survey on architectures and energy efficiency in data center networks. Comput. Commun. 40, 1–21 (2014)CrossRef

Abts, D., Marty, M.R., Wells, P.M., Klausler, P., Liu, H.: Energy proportional datacenter networks. In: ACM SIGARCH Computer Architecture News—ISCA '10, vol. 38, No. 3, pp. 338–347 (2010)

Akyildiz, I.F., Lee, A., Wang, P., Luo, M., Chou, W.: A roadmap for traffic engineering in SDN-OpenFlow networks. Comput. Netw. 71, 1–30 (2014)CrossRef

10.

Awduche, D., Malcolm, J., Agogbua, J., O’Dell, M., MacManus, J.: Requirements for traffic engineering over MPLS. RFC 2702 (1999)

11.

Hopps, C.: Analysis of an equal-cost multi-path algorithm. RFC 2992 (2000)

12.

Fortz, B., Rexford, J., Thorup, M.: Traffic engineering with traditional IP routing protocols. IEEE Commun. Mag. 40(10), 118–124 (2002)CrossRef

13.

Taruk, M., Budiman, E., Wati, M., Haviluddin: OSPF wireless mesh with MPLS traffic engineering. In: 2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE), Denpasar, Bali, Indonesia, pp. 119–122 (2019). https://doi.org/10.1109/ICEEIE47180.2019.8981478

14.

Tso, F.P., Pezaros, D.P.: Improving data center network utilization using near-optimal traffic engineering. IEEE Trans. Parallel Distrib. Syst. 24(6), 1139–1148 (2013)CrossRef

15.

Heller, B., Seetharaman, S., Mahadevan, P., Yiakoumis, Y., Sharma, P., Banerjee, S., McKeown, N.: ElasticTree: saving energy in data center networks. In: NSDI'10 Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation, April, pp. 17–17 (2010)

16.

Benson, T., Anand, A., Akella, A., Zhang, M.: MicroTE: fine grained traffic engineering for data centers. In: CoNEXT '11 Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies, December 06–09, p. 8 (2011)

17.

Li, Y., Pan, D.: OpenFlow based load balancing for fat-tree networks with multipath support. In: Proceedings of 12th IEEE International Conference on Communications, Budapest, Hungary, pp. 1–5 (2013)

18.

Long, H., Shen, Y., Guo, M., Tang, F.: LABERIO: dynamic load-balanced routing in OpenFlow-enabled networks. In: 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), 25–28 March, pp. 290–297 (2013)

19.

Xu, D., Chiang, M., Rexford, J.: Link-state routing with hop-by-hop forwarding can achieve optimal traffic engineering. IEEE/ACM Trans. Netw. (TON) 19(6), 1717–1730 (2011)CrossRef

20.

Xu, D., Chiang, M., Rexford, J.: Corrections to “Link-state routing with hop-by-hop forwarding can achieve optimal traffic engineering.” IEEE/ACM Trans. Netw. (TON) 23(5), 1702–1703 (2015)CrossRef

21.

Chiesa, M., Kindler, G., Schapira, M.: Traffic engineering with equal-cost-multipath: an algorithmic perspective. In: IEEE INFOCOM 2014—IEEE Conference on Computer Communications, 27 April–2 May, pp. 1590–1598 (2014)

22.

Chiesa, M., Kindler, G., Schapira, M.: Traffic engineering with equal-cost-MultiPath: an algorithmic perspective. IEEE/ACM Trans. Netw. PP(99), 1–14 (2016)

23.

Nejad, E.S., Majma, M.R., Izadpanahi, B., Natanzi, S.B.H., Navaei, H.R.: Infrastructure of data centers for transferring big data traffic: a survey research. In: 2015 International Congress on Technology, Communication and Knowledge (ICTCK), 11–12 November, pp. 486–491 (2015)

24.

Perlman, R.: An algorithm for distributed computation of a spanningtree in an extended LAN. ACM SIGCOMM Comput. Commun. Rev. 15(4), 44–53 (1985)CrossRef

25.

Al-Fares, M., Radhakrishnan, S., Raghavan, B., Huang, N., Vahdat, A.: Hedera: dynamic flow scheduling for data center networks. In: Proceedings of Networked Systems Design and Implementation, April 28–30, p. 19 (2010)

26.

Curtis, A.R., Kim, W., Yalagandula, P.: Mahout: low-overhead datacenter traffic management using end-host-based elephant detection. In: INFOCOM, 2011 Proceedings IEEE, 10–15 April, pp. 1629–1637 (2011)

27.

Adami, D., Giordano, S., Pagano, M., Santinelli, N.: Class-based traffic recovery with load balancing in software-defined networks. In: 2014 IEEE Globecom Workshops (GC Wkshps), 8–12 December, pp. 161–165 (2014)

28.

Adami, D., Giordano, S., Pagano, M., Portaluri, G.: A novel SDN controller for traffic recovery and load balancing in data centers. In: 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), 23–25 October, pp. 77–82 (2016)

29.

Moreno, E., Beghelli, A., Cugini, F.: Traffic engineering in segment routing networks. Comput. Netw. 114, 23–31 (2017)CrossRef

30.

mininet: An instant virtual network on your laptop (or other PC). Stanford University, November 2016. Available: http://mininet.org/

31.

noxrepo, "POX," November 2016. Available: http://www.noxrepo.org/pox/about-pox/

32.

Cisco Systems: "Cisco WAN and Application Optimization Solution Guide," Cisco Systems, Inc, San Jose, CA 95134–1706, USA, April (2008)

33.

Open Networking Foundation (ONF): "OpenFlow Switch Specification Version 1.5.1," Open Networking Foundation, USA, March 26 (2015)

34.

Niranjan Mysore, R., Pamboris, A., Farrington, N., Huang, N., Miri, P., Radhakrishnan, S., Subramanya, V., Vahdat, A.: PortLand: a scalable fault-tolerant layer 2 data center network fabric. ACM SIGCOMM Comput. Commun. 39(4), 39–50 (2009)CrossRef

35.

Hassas Yeganeh, S., Ganjali, Y.: Kandoo: a framework for efficient and scalable offloading of control applications. In: HotSDN '12 Proceedings of the First Workshop on Hot Topics in Software Defined Networks, August 13, pp. 19–24 (2012)

36.

Liao, J., Sun, H., Wang, J., Qi, Q., Li, K., Li, T.: Density cluster based approach for controller placement problem in large-scale software defined networkings. Comput. Netw. 112, 24–35 (2017)CrossRef

37.

Voellmy, A., Wang, J.: Scalable software defined network controllers. In: SIGCOMM '12 Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, August 13–17, pp. 289–290 (2012)

38.

Qi, H., Shiraz, M., Liu, J., Gani, A., Rahman, Z.A., Altameem, T.A.: Data center network architecture in cloud computing: review, taxonomy, and open research issues. J. Zhejiang Univ. Sci. C 15(9), 776–793 (2014)CrossRef

39.

FEDERAL ENERGY MANAGEMENT PROGRAM: "FEMP Data Center Program Overview," Federal Energy Management Program (FEMP), United States, June (2016)

40.

Shehabi, A., Smith, S., Sartor, D., Brown, R., Herrlin, M., Koomey, J., Masanet, E., Horner, N., Azevedo, I., Lintner, W.: United States Data Center Energy Usage Report. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY, United States, June (2016)

41.

Han, Y., Seo, S., Li, J., Hyun, J., Yoo, J., Hong, J.W.: Software defined networking-based traffic engineering for data center networks. In: The 16th Asia-Pacific Network Operations and Management Symposium, pp. 1–6 (2014). https://doi.org/10.1109/APNOMS.2014.6996601

42.

Kandula, S., Sengupta, S., Greenberg, A., Patel, P., Chaiken, R.: The nature of datacenter traffic: measurements and analysis. In: IMC '09 Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, November 04–06, pp. 202–208 (2009)

43.

Benson, T., Akella, A., Maltz, D.A.: Network traffic characteristics of data centers in the wild. In: IMC '10 Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement, November 01–30, pp. 267–280 (2010)

Titel: SEMTE: scalable and extended modular traffic engineering in software-defined data center networks
verfasst von: Mohammad Reza Majma
Emad Soltani Nejad
Publikationsdatum: 26.10.2021
Verlag: Springer US
Erschienen in: Photonic Network Communications / Ausgabe 3/2021
Print ISSN: 1387-974X
Elektronische ISSN: 1572-8188
DOI: https://doi.org/10.1007/s11107-021-00950-y

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