Review Topical Sections

A survey on key roles of optical switching and labeling technologies on big data traffic of Data Centers and HPC environments

  • Received: 19 April 2019 Accepted: 10 June 2019 Published: 20 June 2019
  • The tremendous big data and IP traffic growth rate between interconnected Data Centers (DC) and High Performance Computing (HPC) environments have imposed the need for ultrahigh link capacities and ultrahigh packet switching speeds, at network nodes. In order to overcome these ultrahigh demands, and particularly packet routing and forwarding speeds, long tested and established technologies, such as optical switching and labeling technology, seem to provide adequate solutions, not only by conveying ultrahigh bit rate data streams, but also by achieving multi Tb/s cross connection throughputs, in a cost and energy efficient way. By adoption of optical switching and labeling technology, big data streams are propagating directly in optical layer, thus lessening down bottlenecks, latency issues, and multi stage hierarchy layering. This paper, apart from optical switching and labeling potentials, investigates thoroughly other critical issues, strictly related to the proper choice of employing a switching architecture layout, such as its implementation technology, its elasticity potentials, in terms of flexible bandwidth (BW) provisioning, its adopted control plane lying on top of data infrastructure plane, providing cognition, control and orchestration over its network elements, as well as related to the proper choice of optical labeling techniques adopted, in conjunction with current, advanced, coherent, multi level modulation formats, for ultrahigh link capacities and packet switching speed demands of scalable, big data interconnected DCs and HPC environments.

    Citation: Efthymios N. Lallas. A survey on key roles of optical switching and labeling technologies on big data traffic of Data Centers and HPC environments[J]. AIMS Electronics and Electrical Engineering, 2019, 3(3): 233-256. doi: 10.3934/ElectrEng.2019.3.233

    Related Papers:

  • The tremendous big data and IP traffic growth rate between interconnected Data Centers (DC) and High Performance Computing (HPC) environments have imposed the need for ultrahigh link capacities and ultrahigh packet switching speeds, at network nodes. In order to overcome these ultrahigh demands, and particularly packet routing and forwarding speeds, long tested and established technologies, such as optical switching and labeling technology, seem to provide adequate solutions, not only by conveying ultrahigh bit rate data streams, but also by achieving multi Tb/s cross connection throughputs, in a cost and energy efficient way. By adoption of optical switching and labeling technology, big data streams are propagating directly in optical layer, thus lessening down bottlenecks, latency issues, and multi stage hierarchy layering. This paper, apart from optical switching and labeling potentials, investigates thoroughly other critical issues, strictly related to the proper choice of employing a switching architecture layout, such as its implementation technology, its elasticity potentials, in terms of flexible bandwidth (BW) provisioning, its adopted control plane lying on top of data infrastructure plane, providing cognition, control and orchestration over its network elements, as well as related to the proper choice of optical labeling techniques adopted, in conjunction with current, advanced, coherent, multi level modulation formats, for ultrahigh link capacities and packet switching speed demands of scalable, big data interconnected DCs and HPC environments.


    加载中


    [1] Khan N, Yaqoob I, Hashem IAT, et al. (2014) Big Data: Survey, Technologies, Opportunities, and Challenges. The Scientific World Journal 2014: 712826.
    [2] Vahdat A, Al-Fares M, Farrington N, et al. (2010) Scale-Out Networking in the Data Center. IEEE Micro 30: 29–41.
    [3] Miao WW, Yan FF and Calabretta NN (2016) Towards Petabit/s All-Optical Flat Data Center Networks Based on WDM Optical Cross-Connect Switches with Flow Control. IEEE Journal of Lightwave Technology 34: 4066–4075. doi: 10.1109/JLT.2016.2593040
    [4] Saridis GM, Aguado A, Yan Y, et al. (2018) LIGHTNESS: All-Optical SDN-enabled Intra-DCN with Optical Circuit and Packet Switching. Optical Switching in Next Generation Data Centers: 147–165.
    [5] Lallas EN, Xenakis A, Stamoulis G, et al. (2018) QoS and MPLS design issues in NoCs. In: 2018 South-Eastern European Design Automation, Computer Engineering, Computer Networks and Society Media Conference (SEEDA-CECNSM ).
    [6] Kitayama K, Huang YC, Yoshida Y, et al. (2014) Optical packet and path switching intra-data center network: Enabling technologies and network performance with intelligent flow control. The European Conference on Optical Communication, ECOC 2014, 21–25.
    [7] Gerstel O, Jinno M, Lord A, et al. (2012) Elastic optical networking: A new dawn for the optical layer?" IEEE Commun Mag 50: 12–20.
    [8] Lara A, Kolasani A and Ramamurthy B (2014) Network innovation using OpenFlow: A survey. IEEE Commun Surv Tut 16: 493–512. doi: 10.1109/SURV.2013.081313.00105
    [9] Kreutz D, Ramos FMV, Verissimo PJE, et al. (2015) Software-defined networking: A comprehensive survey. P IEEE 103: 14–76. doi: 10.1109/JPROC.2014.2371999
    [10] Qian D, Huang MF, lp E, et al. (2011) 101.7-Tb/s (370×294-Gb/s) PDM-128QAM-OFDM transmission over 3×55-km SSMF using pilot-based phase noise mitigation. In: 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, 1–3.
    [11] Singh A, Ong J, Agarwal A, et al. (2016) Jupiter rising: a decade of Clos topologies and centralized control in Google's datacenter network. Communications of the ACM 59: 88–97.
    [12] Zhou X, Liu H, and Urata R (2017) Datacenter optics: requirements, technologies, and trends (Invited Paper). Chin Opt Lett 15: 120008–120011. doi: 10.3788/COL201715.120008
    [13] Cheng Q, Bahadori M, Glick M, et al. (2018) Recent advances in optical technologies for data centers: a review. Optica 5: 1354–1370. doi: 10.1364/OPTICA.5.001354
    [14] Kerravala Z (2015) A Data Center Fabric Is Critical to a Next-Generation Unified Data Center. Yankee Group White Paper.
    [15] Tucker RS (2011) Green optical communications-Part II: Energy limitations in networks. IEEE J Sel Top Quant 17: 261–274. doi: 10.1109/JSTQE.2010.2051217
    [16] Kitayama KI, Huang YC, Yoshida Y, et al. (2015) Torus-Topology Data Center Network Based on Optical Packet/Agile Circuit switching with Intelligent Flow Management. J Lightwave Technol 33: 1063–1071. doi: 10.1109/JLT.2015.2394384
    [17] Yin Y, Proietti R, Ye X, et al. (2013) LIONS: An AWGR-Based Low-Latency Optical Switch for High-Performance Computing and Data Centers. IEEE J Sel Top Quant 19: 3600409–3600409. doi: 10.1109/JSTQE.2012.2209174
    [18] Imran M, Collier M, Landais P, et al. (2015) HOSA: Hybrid Optical Switch Architecture for Data Center Networks. In: Proceedings of the 12th ACM International Conference on Computing Frontiers, p. 27.
    [19] Peng S, Simeonidou D, Zervas G, et al. (2014) A novel SDN enabled hybrid optical packet/circuit switched data centre network: The LIGHTNESS approach. In: 2014 European Conference on Networks and Communications (EuCNC), pp. 1–5.
    [20] Xu M, Diakonikolas J, Modiano E, et al. (2019) A Hierarchical WDM-based Scalable Data Center Network Architecture. ArXiv:1901.06450.
    [21] Kitayama K (2016) Optical Packet Switching: Myth, Fact, and Promise. In: 21st OptoElectronics and Communications Conference (OECC) held jointly with 2016 International Conference on Photonics in Switching (PS), pp. 1–2.
    [22] Ye S, Shen Y, and Panwar SS(2010) HELIOS: A High Energy-efficiency Locally-scheduled Input-queued Optical Switch. In: Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), IEEE.
    [23] Balanici M and Pachnicke S (2018) Intra-Data Center Network Optimization by Means of Application-Based Traffic Modeling and Optical Circuit Switching. In: 20th International Conference on Transparent Optical Networks (ICTON), Bucharest, Romania.
    [24] Lone S, Usman M, Imran M (2018) E-HOSA: Extended-Hybrid Optical Switch Architecture for Cloud Computing Data Centers. In: International Conference on Frontiers of Information Technology (FIT), pp. 53–58.
    [25] Cisco Nexus 56128P Switch-Cisco. Available from: https://www.cisco.com/c/en/us/products/switches/nexus-56128p-switch/index.html.
    [26] Ye X, Mejia P, Yin Y, et al. (2010) DOS: a scalable optical switch for datacenters. In: Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ACM.
    [27] Xi K, Kao YH and Chao HJ (2013) A petabit bufferless optical switch for data center networks. Optical Interconnects for Future Data Center Networks, pp. 135–154, Springer, New York, NY.
    [28] Xu M, Liu C and Subramaniam S (2018) PODCA: A Passive Optical Data Center Network Architecture. Journal of Optical Communications and Networking 10: 409–420. doi: 10.1364/JOCN.10.000409
    [29] Lu Y, Gu H, Yu X, et al. (2018) NEST: Towards Extreme Scale Computing Systems. IEICE T Inf Syst E101–D: 2827–2830.
    [30] Nakagawa M, Masumoto K, Onda H, et al. (2018) Photonic Sub-Lambda Transport: An Energy-Efficient and Reliable Solution for Metro Networks. In: 2018 International Conference on Optical Network Design and Modeling (ONDM), pp. 166–171.
    [31] Wang J, Basu S, McArdle C, et al. (2015) Large-scale hybrid electronic/optical switching networks for datacenters and HPC systems. In: 2015 IEEE 4th International Conference on Cloud Networking (CloudNet), pp. 87–93.
    [32] Shukla V and Jain A (2018) Design and analysis of high speed optical routers for next generation data centre network. Journal of Engineering Research 6: 122–137.
    [33] Romagnoli M, Sorianello V, Midrio M, et al. (2018) Graphene-based integrated photonics for next-generation datacom and telecom. Nature Reviews Materials 3: 392–414. doi: 10.1038/s41578-018-0040-9
    [34] Oki E, Shiomoto K, Shimazaki D, et al. (2005) Dynamic multilayer routing schemes in GMPLS-based IP+ optical networks. IEEE Commun Mag 43: 108–114.
    [35] Viswanathan A, Feldman N, Wang Z, et al. (1998) Evolution of multiprotocol label switching. IEEE Commun Mag 36: 165–173. doi: 10.1109/35.668287
    [36] Munoz R, Casellas R, Martinez R, et al. (2014) PCE: What is it, how does it work and what are its limitations? J Lightwave Technol 32: 528–543. doi: 10.1109/JLT.2013.2276911
    [37] Kreutz D, Ramos FMV, Verissimo PJE, et al. (2015) Software-defined networking: A comprehensive survey. P IEEE 103: 14–76. doi: 10.1109/JPROC.2014.2371999
    [38] Openflow1.4. [Online]. Available from: https://www.opennetworking.org/images/stories/downloads/sdn-resources/onf-specifications/op enflow/openflow-spec-v1.4.0.pdf.
    [39] Li Y and Kilper DC (2018) Optical Physical Layer SDN [Invited]. Journal of Optical Communications and Networking 10: A110–A121. doi: 10.1364/JOCN.10.00A110
    [40] Lallas EN (2019) A Survey on All Optical Label Swapping Techniques: Comparison and Trends. Opt Switch Netw 31: 22–38. doi: 10.1016/j.osn.2018.08.002
    [41] Cui L, Yu FR and Yan Q (2016) When big data meets software-defined networking: SDN for big data and big data for SDN. IEEE Network 30: 58–65. doi: 10.1109/MNET.2016.7389832
    [42] Casellas R, Martinez R, Vilalta R, et al. (2018) Control, Management, and Orchestration of Optical Networks: Evolution, Trends, and Challenges. J Lightwave Technol 36: 1390–1402. doi: 10.1109/JLT.2018.2793464
    [43] Thyagaturu AS, Mercian A, McGarry MP, et al. (2016) Software Defined Optical Networks (SDONs): A Comprehensive Survey. IEEE Commun Surv Tut 18: 2738–2786. doi: 10.1109/COMST.2016.2586999
    [44] OpenROADM. [Online]. Available from: http://www.openroadm.org.
    [45] Zhao J, Subramaniam S and Brandt-Pearce M (2014) Intradomain and interdomain QoT-aware RWA for translucent optical networks. J Opt Commun Netw 6: 536–548. doi: 10.1364/JOCN.6.000536
    [46] SDN Architecture, Issue 1.1, ONF TR-521, Open Networking Foundation 2016.
    [47] Network functions virtualisation (NFV), Architectural framework, ETSI GS NFV 002 (V1.2.1), Dec. 2014.
    [48] Mestres A, Rodriguez-Natal A, Carner J, et al. (2017) Knowledge-defined networking. ACM SIGCOMM Comp Com 47: 2–10.
    [49] Lu W, Liang L, Kong B, et al. (2018) AI-Assisted Knowledge-Defined Network Orchestration for Energy-Efficient Datacenter Networks. IEEE Commun Mag.
    [50] Musumeci F, Rottondi C, Nag A, et al. (2019) An Overview on Application of Machine Learning Techniques in Optical Networks. IEEE Commun Surv Tut 21: 1383–1408. doi: 10.1109/COMST.2018.2880039
    [51] Yamanaka N, Okamoto S, Hirono M, et al. (2018) Application-Triggered Automatic Distributed Cloud/Network Resource Coordination by Optically Networked Inter/Intra Data Center [invited]. J Opt Commun Netw 10: B15–B24. doi: 10.1364/JOCN.10.000B15
    [52] Huang MF (2017) Architecture of OpenFlow based Software Defined Optical Label Swapping. US PATENT No. 9.537.598.
    [53] Walkowiak K, Wozniak M, Klinkowski M, et al. (2015) Optical Networks for Cost-Efficient and Scalable Provisioning of Big Data Traffic. International Journal of Parallel, Emergent and Distributed Systems 30: 15–28. doi: 10.1080/17445760.2014.924516
    [54] Wu Z, Li J, Zhu P, et al. (2015) Experimental Demonstration of Optical Labeled Superchannel Switching for Elastic Optical Network. Optical Fiber Communication Conference, Optical Society of America.
    [55] Dallaglio M, Giorgetti A, Sambo N, et al. (2015) Provisioning and Restoration With Sliceability in GMPLS-Based Elastic Optical Networks. J Opt Commun Netw 7: A309–A317. doi: 10.1364/JOCN.7.00A309
    [56] Yoshida Y, Maruta A, Kitayama K, et al. (2015) SDN-Based Network Orchestration of Variable-Capacity Optical Packet Switching Network Over Programmable Flexi-Grid Elastic Optical Path Network. J Lightwave Technol 33: 609–617. doi: 10.1109/JLT.2014.2351852
    [57] Yin Y, Liu L, Proietti R, et al. (2017) Software Defined Elastic Optical Networks for Cloud Computing. IEEE Network 31: 4–10. doi: 10.1109/MNET.2017.8120233
    [58] Kanj M, Rouzic EL, Meuric J, et al. (2016) Optical power control in GMPLS control plane. IEEE/OSA Journal of Optical Communications and Networking 8: 553–568. doi: 10.1364/JOCN.8.000553
    [59] Kanj M, Rouzic EL, Meuric J, et al. (2018) Optical power control in translucent flexible optical networks with GMPLS control plane. IEEE/OSA Journal of Optical Communications and Networking 10: 760–772. doi: 10.1364/JOCN.10.000760
    [60] Blumenthal DJ, Bowers JE, Rau L, et al. (2003) Optical signal processing for optical packet switching networks. IEEE Commun Mag 41: S23–S29. doi: 10.1109/MCOM.2003.1179494
    [61] Guillemot C, Renaud M, Gambini P, et al. (1998) Transparent optical packet switching: The European ACTS KEOPS project approach. J Lightwave Technol 16: 2117–2134. doi: 10.1109/50.736580
    [62] Okada A (2002) All-optical packet routing in AWG-based wavelength routing networks using an out-of-band optical label. In: Optical Fiber Communication Conference and Exhibit, pp. 213–215.
    [63] Skoufis C, Sygletos S, Leligou N, et al. (2003) Data-Centric Networking Using Multiwavelength Headers/Labels in Packet-Over-WDM Networks:A Comparative Study. J Lightwave Technol 21: 2110–2122. doi: 10.1109/JLT.2003.816897
    [64] Zhu Z, Hernandez VJ, Jeon MY, et al. (2003) RF Photonics Signal Processing in Subcarrier Multiplexed Optical-Label Switching Communication Systems. J Lightwave Technol 21: 3155–3166. doi: 10.1109/JLT.2003.822237
    [65] Lallas EN, Skarmoutsos N and Syvridis D (2005) Coherent encoding of optical FSK header for All optical Label Swapping Systems. J Lightwave Technol 23: 1199–1209. doi: 10.1109/JLT.2005.843490
    [66] Chow CW, Wong CS and Tsang HK (2004) All-Optical ASK/DPSK Label-Swapping and Buffering Using Fabry–Perot Laser Diodes. IEEE J Sel Top Quant 10: 363–370. doi: 10.1109/JSTQE.2004.825955
    [67] Fouli K and Maier M (2007) OCDMA and optical coding: Principles, applications, and challenges. IEEE Commun Mag 45: 27–34.
    [68] Fakih A, Panbude S and Jagtap S (2014) Performance Analysis of Two Dimensional Wavelength/Time Encoding System for Optical CDMA Networks. International Journal of Computer and Communication Engineering 3: 424–428. doi: 10.7763/IJCCE.2014.V3.362
    [69] Matsumoto R, Kodama T, Morita K, et al. (2015) Scalable two- and three-dimensional optical labels generated by 128-port encoder/decoder for optical packet switching. Opt Express 23: 25747–25761. doi: 10.1364/OE.23.025747
    [70] Habib C, Baby V, Chen LR, et al. (2008) All-Optical Swapping of Spectral Amplitude Code Labels Using Nonlinear Media and Semiconductor Fiber Ring Lasers. IEEE J Sel Top Quant 14: 879–888. doi: 10.1109/JSTQE.2008.918047
    [71] Aboagye IA, Chen F and Cao Y (2017) Performance Analysis of 112 Gb/s×4-Channel WDM PDM-DQPSK Optical Label Switching System With Spectral Amplitude Code Labels. Photonic Sens 7: 88–96. doi: 10.1007/s13320-016-0345-5
    [72] Seddighian P, Ayotte S, Rosas-Fernández JB, et al. (2007) Label Stacking in Photonic Packet-Switched Networks With Spectral Amplitude Code Labels. J Lightwave Technol 25: 463–471. doi: 10.1109/JLT.2006.888265
    [73] Mendinueta JMD, Shinada S, Furukawa H, et al. (2017) Ultra-High-Capacity Optical Packet Switching Networks with Coherent Polarization Division Multiplexing QPSK/16QAM Modulation Formats. Photonics 4: 27. doi: 10.3390/photonics4020027
    [74] Eiselt M, Dochhan A, Elbers JP (2018) Data Center Interconnects at 400G and Beyond. ArXiv:1807.11861.
    [75] Moura PM, Scaraficci RA and da Fonseca NLS (2015) Algorithm for energy efficient routing, modulation and spectrum assignment. In: 2015 IEEE International Conference on Communications (ICC), pp. 5961–5966.
    [76] Xu Y, Li X and Yu J (2016) Simple scheme for PDM-QPSK payload generation in an optical label switching network. J Opt Commun Netw 8: 53–57. doi: 10.1364/JOCN.8.000053
    [77] Okonkwo CM, van Uden RGH, Chen H, et al. (2015) Advanced coding techniques for few mode transmission systems. Opt Express 23: 1411–1420. doi: 10.1364/OE.23.001411
    [78] Tarokh V, Jafarkhani H and Calderbank AR (1999) Space-Time Block Codes from Orthogonal Designs. IEEE T Inform Theory 45: 1456–1467. doi: 10.1109/18.771146
    [79] Alvarado A and Agrell E (2015) Four-Dimensional Coded Modulation with Bit-Wise Decoders for Future Optical Communications. J Lightwave Technol 33: 1993–2003. doi: 10.1109/JLT.2015.2396118
    [80] Isaac AA, Chen F, Cao Y, et al. (2017) Effects of Polarization Tracker on 80 and 112Gb/s PDM-DQPSK with Spectral Amplitude Code Labels. Proceeding of the World Congress on Engineering 1.
    [81] Nakagawa G, Feuer MD, Mikhailov V, et al. (2015) High-speed Polarization Shift Keying Lightpath Labeling of 100 Gb/s DP-QPSK for Programmable Photonic Networks. Optical Fiber Communication Conference, pp. Tu3D-2. Optical Society of America.
    [82] Xu M, Li Y, Kang TZ, et al. (2016) Performance evaluations of hybrid modulation with different optical labels over PDQ in high bit-rate OLS network systems. Opt Express 24: 26228–26240. doi: 10.1364/OE.24.026228
    [83] Khlifi Y and Alotaibi M (2018) A novel multicast grooming scheme for dynamic QoS provision over OLS networks. IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 911–917.
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4587) PDF downloads(1610) Cited by(3)

Article outline

Figures and Tables

Figures(8)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog