Huawei Smart NREN Solution Contents 01 02 03




























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Huawei Smart NREN Solution
Contents 01 02 03 Trends Solutions Success Stories
National Research and Education Network (NREN) Bridges the Digital Divide and Boosts Comprehensive National Competitiveness Information exchange Ø R&D personnel Ø Research institutes Ø Knowledge communities Resource sharing Ø Digital resources Ø ICT resources Ø Teaching capabilities R&D innovation Ø Scientific advancement Ø Social innovation Ø National competitiveness enhancement
NREN Service Capabilities Basic Network Services Advanced Network Services 图,???? Collaboration Services 图,云和视频 的图 Backbone network ØIP Access ØEducation institution interconnection ØWavelength ØIPv 6 ØSecurity ØDDOS ØDigital certificate ØEduroam ØIaa. S ØHPC ØLMS ØVideo conference ØFile Sharing
High Quality Network NREN traffic increases 30% annually Access agency grows 25% annually 200 16000 180 14000 160 12000 140 10000 120 8000 100 6000 80 4000 60 2000 40 al l ci ia m er pt Co m os ov H em en t ar y br G y ar nd 2017 Li ol Sc sc 2016 co 2015 Se 2014 ho ho ch ar ar y GEANT 2006 2007 2008 2009 2010 2011 2012 Source: 2013 2014 PB/quarter Uplink Downlink Compendium 2015 im 2017 Pr 2016 se 2015 Re 2014 FE rs ity 2013 ve 2012 ni 2011 U 0 ol 0 20 Source: GEANT Compendium High capacity, low latency Wide coverage, high reliability Ø Demanding latency requirements: Oracle RAC (10 ms), VMware (10 ms), video (35 ms), and Io. T services Ø University, research institutions egress bandwidth from 10 G->100 G ØAccess from primary and secondary schools grows rapidly ØNREN covers more primary and secondary schools, network are more complex and requires higher reliability NREN demands high bandwidth, low latency, high reliability network
Convenient Management Complex network deployment Low resource utilization Network capability openness Node A IP network 10% 20% IP network administrator Ø Separately-deployed IP and optical networks cause complex engineering Ø Separated IP and optical network services are difficult to adjust App 10% 90% 80% Optical network administrator App Open platform Node D Node B Optical network App Node C Ø Low resource utilization Ø IP and optical resources are difficult to be used uniformly Network Ø A general network automation platform opens up the network capability
Flexible Architecture As IS Future Router 数据中心 IP managment PE P P Router DC PE P/PE DC DWDM Transport managment 1 l l Simplified network Multi-layer network architecture, no synergy between network layers, Software. Defined Networking (SDN) is necessary Network virtualization for multi-services 2 l l Intelligent network Takes a long time and is difficult for fault delimitation Service configuration automation 3 l l Agile network Takes a long time for service provisioning Complex operations, high Operating Expenses (OPEX)
Contents 01 02 03 Trends Solutions Success Stories
Huawei NREN Solution Panorama Huawei Innovation Basic services Rich services IP access Wavelength Cloud DC Organization interconnection IPv 6 HPC High-quality network Diversified Connected Campus Collaboration services File sharing Video conference Advanced services Security service Digital certificate Identity association eduroam Node NREN Universities Node Research institutes Primary and Educational institution secondary schools for adults Hospitals Government organizations
Rich Services High-quality Network Video Conference: Cloud Deployment Ensures Adaptive Resource Scheduling Desktop experience Conference room experience Manager’s desktop Mobile experience Small- and medium-sized meeting rooms High-end conference room Employee’s desktop Mobile office Executive’s office Partner’s office HQ Outlook MCU Conference scheduling SMC 2. 0 Video recording system Conference management and device management
Rich Services High-quality Network Video Conference: Converged Scenarios for Communication at Anytime, Anywhere Subordinate unit site If the MCU resource in an area is insufficient, the system can automatically set up a cascading relationship with MCUs in the same area to initiate the conference. Subordinate unit site HQ resource pool HQ site MCU 1 MCU 2 . . . MCU Resource pool of area 2 . . . MCU Resource pool of Province D Resource pool of area 1 Resource pool of Province C Resource pool of Province A MCU Resource pool of Province B Resource allocation If an MCU fails, the system automatically switches the conference to an available MCU, ensuring the conference runs smoothly.
Rich Services High-quality Network Shared Web Disk: Convenient Knowledge Sharing Platform Mobile access Various terminals are supported Files of multiple terminals can be synchronized in real time Photos can be uploaded immediately after being shot Full text retrieval A document can be searched by title, content, and date Fast sharing One-click sharing of large-size attachments Document sharing by department Flexible customization of sharing rights Team collaboration Collaboratively document editing Multi-version management of documents IM notification Distributed architecture Flexible storage Distributed deployment of servers Deployment of multiple data centers High concurrency, high reliability Traditional storage array S 3 protocol is supported NFS V 3 protocol is supported
High-quality Network Rich Services HPC: Integrated Solution Facilitates Scientific Research Scientific research services Meteorological environment l The highest computing density in the industry: 64 CPUs for a single cabinet, 200+ TFLOPS per cabinet The highest capacity in the industry: 400 Gbit/s massive bandwidth Service scheduling All-in-room Rapid delivery SSD card Liquid cooling Energy-saving server High energy efficiency High I/O performance All-in-one solution Life science Converged management Converged service management platform Unified All-in-rack Satellite mapping t l Application integration managemen High-Performance Computing (HPC) platform Aeronautics and astronautics GPU Energy-saving products and solutions
Rich Services High-quality Network Cloud Data Center: Future-oriented SD-DC² Iaa. S Business-driven Saa. S ▪ Virtual data center Big Data ▪ Service quality Data innovation VDC Computing Storage Network Fusion. Sphere ▪ Full analysis ▪ Industry modeling ▪ Security and reliability VDC Computing Storage Network Manage. One Fusion. Sphere SDN SD-DC 2: Service Driven-Distributed Cloud Data Center Software-defined ▪ Software-defined computing, storage, and network Hardware restructuring ▪ High-performance ▪ High density ▪ High reliability
Rich Services High-quality Network Cloud Data Center: Based on the Open Cloud Operating System Fusion. Sphere Private cloud Hybrid cloud Public cloud 100% Open source community Compatibility Cloud management Software-defined computing Software-defined storage 2, 000+ Enhancements Software-defined network Top 6 Data center infrastructure 60 Open source contributions 10 20 Founding members
Rich Services High-quality Network Security Services: Big Data-based Anti-DDo. S Solution High-performance hardware platform Big Data enablement Comprehensive data extraction • • • 100% traffic detection Perpacket detection at layers 3 to 7 TCP session behavior URI access behavior Comprehensive credit system • IP credit database for global botnets • Local real-time location reputation • Local real-time session credit • IPS signature database for botnets Comprehensive data analysis 1. 44 Tbit/s 60+ • 5 dimensions • 8 protocol suites • 38 protocol states • 60+ traffic models Comprehensive fingerprint technology • 20, 000+ dynamic fingerprints • Service access fingerprints • Attack traffic fingerprints • Static fingerprints • 160 Gbit/s anti-DDo. S processing capability of a board • 1. 44 Tbit/s anti-DDo. S processing capability of the entire system • Attack response within 2 seconds • Interface boards are separated from service processing boards, ensuring high reliability
Rich Services High-quality Network Ultra Broadband: 1 Tbit/s Router and 400 Gbit/s OTN-based Future-oriented Network IP chip l l l 28 nm processor technology 1 Tbit/s line-rate forwarding Power consumption < 0. 9 W/Gbytes Solar 1 Tbit/s router 400 Gbit/s OTN 100 Gbit/s OTN NE router Cloud data center Optical chip l l l o. DSP l 6, 000 km transmission without relay Smooth expansion from 400 Gbit/s to 1 Tbit/s Adjustable rates, high integration Chip power consumption: 220 m. W/Gbytes OTN
Rich Services High-quality Network Ultra Broadband: 1 Tbit/s Router and 400 Gbit/s OTN-based Future-oriented Network 84% Key factors for network latency 2% 1% Optimizes optical fiber routing 13% SNC-T controller Optimizes FEC algorithm Fiber Chip signal flow DCM 84% FEC Before FEC 1 st. FEC 2 nd FEC 3 rd FEC After FEC Others PCEP/OSPF 13% Various routing policies (Hop count, distance, bandwidth, and latency) 2% l l Reduces the DCM latency Coherent transmission The network needs no extra DCM, and there is no DCF latency FBG DCM Nanosecond-level delay Gain (d. B) Latency 1 st FEC 6. 98 About 40 μs 2 nd FEC 8. 53 About 85 μs 3 rd FEC 8. 58 About 130 μs Within the OSNR limit, fewer FEC times indicate lower latency
Rich Services High-quality Network IP + Optical Synergy:Simplify network architecture, Reduce TCO IP + Optical Synergy Cross-layer synergy IP logs Network operations PCEP/OSPF-TE • Multi-layer virtualization • Multi-layer fault diagnosis Optical logs Super Controller Optical Controller Cross-layer association alarm IP Controller PCEP/BGP-LS Cross-layer synergy • Multi-layer automatic configuration Service provisioning • Minutes for service provisioning Cross-layer synergy • Multi-layer network visualization IP 光 • Optical SRLG separation Network planning Work path Hot standby path Network reliability improved CAPEX Saved by 40% OPEX Saved by 30% Improves link utilization Simplifies operations, more Network automation, shortens efficient planning provisioning time Week Minutes
Rich Services High-quality Network Resource pooling, Visualized Services Intelligent Service Planning • Network traffic prediction accuracy Increased by 85%+ • Capacity bottleneck prediction Network Automation Mana ger Management Control ler Controller Proactive Network Operations Network Intelligence Analyz er • Automatic service optimization improves network utilization Analyzer • Automatic fault detection improves network reliability Automatic Service Provisioning Minutes for end-to-end service provisioning • Tenant Service Level Agreement (SLA) guarantee
Rich Services High-quality Network Intelligent Optimization: SDN Increases Network Resource Utilization to 90%, Producing a Higher ROI SDN-based traffic adjustment solution Traditional routing control in distributed mode 30% Average bandwidth usage 90% SDN controller Average bandwidth usage Node A 90% Node D 10% 20% Node D 90% 10% Node B 90% 90% 20% Node C Uneven load balancing Node C Load balancing
Rich Services High-quality Network Function Openness: Various API Interfaces, Application-Oriented Networks Open Platform e. Commerce-based leased line operation App Application plane Bo. D App Evolution from offline to online and oneclick service application Virtual network leasing SDN controller Control plane VCN App Self-service virtual network management is supported for different tenants Virtual tester Network Data plane SMD App Online network performance measurement requires no instruments *Bo. D: Bandwidth over Demand *SMD: Service Manager Dashboard *VCN: Virtual Customer Network
Contents 01 02 Trends Solutions 03 Success Stories
World’s largest scale 100 Gbit/s backbone network Transmission distance over 10, 000 km Interconnected educational institutions 2, 000+ The world’s largest backbone education network connects more than 2, 000 educational institutions and over 25 million customers. • Ultra-large bandwidth: 40 x 100 Gbit/s transmission volume, over 10, 000 km transmission distance, and the world’s largest 100 Gbit/s backbone network • Wide coverage: 36 cities, and more than 23 university data centers are connected with a bandwidth exceeding 100 Gbit/s • High reliability: 38 core sites, 4 international/national interconnection nodes • Low latency: Bulk transmission and low latency (0. 2 s) • The network is a multi-service carrier, providing scientific research together with general services. Deployed with IPv 4/IPv 6 dual stacks, the network can also evolve smoothly to the future network.
High reliable active/standby DC dual-plane n Multi-service access 2 Mbit/s to 100 Gbit/s Optimal customer experience latency in microseconds n n n High reliability • Dual plane + ROADM: Dynamic wavelength scheduling • Client 1+1 protection on each plane • Equipment protection against multiple fiber cuts Scalability • High bandwidth: Smooth upgrade from 80 x 100 Gbit/s to 40 x 10 Gbit/s • Multi-service (2 Mbit/s to 100 Gbit/s) access Simple O&M: Unified NMS for various products, online performance monitoring in real time Low latency: End-to-End microsecond-level latency provides optimal customer experiences
Brazil RNP: 40 x 100 G Backbone Network, Enables Access for Over 1, 500 Organizations 40 lambda 100 G OTN • Distance Ready for Future 6, 000 5 -10 • Kilometers Years of Service • Provide Internet access for more than 1, 500 education and research institutes。 40 Wavelength 100 G DWDM Backbone network, 65 sites. DWDM solution, longest single span 257 km, total distance of 6, 000 km
Summary NREN accelerates collaboration of institution, accelerate research transformation Data Center Research institutions Basic services Education Backbone Network Collaboration services Service applications Rich Services Simplified Managment Huawei’s Leading NREN solution meets 10 Years of evolution Intelligent network Advanced services Rapid traffic Growth Network Security Other Institutions Huawei has helped 10+ countries to build NREN networks, bridges the digital divide and boosts comprehensive National competitiveness Cloud Data Center The world’s largest backbone education network. Multi-service integrated network IP + Optical Synergy University Huawei’s implements NREN all over the world China CERNET 40 x 100 G Backbone Network, enables Campus Universities Research institutes access for over 1, 500 organizations Primary and secondary schools Brazio RNP
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