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Intelligent Infrastructure for 3G/4G Wireless


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Presentation slides from Ciena's Chuck Kaplan during 4G World, Oct 24-27, 2011 in Chicago.

Presentation slides from Ciena's Chuck Kaplan during 4G World, Oct 24-27, 2011 in Chicago.

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  • 1. Intelligent Infrastructure for WirelessThe growing role of Packet Transport Chuck Kaplan 4G World, Chicago October 26, 2011 © Ciena Corporation
  • 2. New Network Dynamics New traffic consumption patterns New network requirements For wireless For everything else Packet Transport: what attributes do we value? Simplified wireless infrastructure2 © Ciena Confidential and Proprietary
  • 3. Traffic Demand Patterns 1M 10M 100M 1G 10G 100G 1T Consumption Patterns are Changing(Traffic, not necessarily transactions) Trend Tomorrow Yesterday3 © Ciena Confidential and Proprietary
  • 4. Smart Phone bandwidth consumption 154% CAGR Mobile broadband 3,806 PB/mo. everywhere 91 PB/mo. Source: Cisco, Visual 2009 2014 Networking Index, Global Mobile Data, 2011 Mobile data growthBandwidth challenge coming from streaming media, file size and latency  a Packet Transport task. Growing to G-bytes / month 4 © Ciena Confidential and Proprietary
  • 5. Residential Broadband bandwidth consumption Video, video and more video 71% CAGR 25,608 PB/mo. 2,966 PB/mo. 2009 2014 Source: Cisco, Visual Networking Index, 2011 Video traffic growthBandwidth challenge coming from video to many screens, file size and latency  a Packet Transport task. 5 G-bytes / HD movie 5 © Ciena Confidential and Proprietary
  • 6. Wireless Backhaul bandwidth consumption Backhaul Network MSC Microwave & Fiber Fiber MNO1 eNB L3 L2 L2 L2 (IP endpoint) X2Cluster 10GE DWDM POTS 100GE GE 100-300Mbps 10GE GE 10GE MNO2 BW challenge is heavy, constant flow with low packet delay variation  a Packet Transport task. 6 100-300-1000 Mbps / cell site © Ciena Confidential and Proprietary
  • 7. Enterprise bandwidth consumption Bandwidth challenge coming large file transfer sizes (Powerpoint,data backup) and multimedia streaming  a Packet Transport task. Soon de-facto service level = 1 Gbps 7 © Ciena Confidential and Proprietary
  • 8. Machine-to-Machine bandwidth consumptionEnterprise Data Center A Private, Public, and Provider Data Center C Hybrid CloudsEnterprise Data Center B Provider Data Center DBandwidth challenge coming from large, latency-sensitive virtualmachine migrations and database sync  a Packet Transport task.8 Terabyte-sized VM migrations © Ciena Confidential and Proprietary
  • 9. Key Take-Aways New usage patterns indicate connection-oriented behavior Majority of metro and core traffic is “transit traffic” General-purpose routers are too costly, power hungry For majority of traffic, need  Packet processing by a router less overhead per packet takes longer than frame forwarding by a Layer-2 switch. Work Done per  Use pre-determined path to Packet final destination to avoid hop-by-hop lookups. File size Packet handling bifurcating into two functions: 1. Specialized IP service processing (including routing) 2. Packet Transport (simple tandem switching)9 © Ciena Confidential and Proprietary
  • 10. Bifurcating to Optimize Cost and Performance IP-based Packet services Transport ComplexityIncreases with higher touch IP/MPLS processing Internetworking Global IP Addressing Unit Cost Carrier OTN Ethernet MPLS-TP Packet-Optical Switching Decreases as bandwidth is aggregated Ethernet Encapsulation OTN Encapsulation Coherent DWDM Capacity Management10 © Ciena Confidential and Proprietary
  • 11. Traffic Demand Patterns 1M 10M 100M 1G 10G 100G 1T Traffic Engineering Move traffic to where the bandwidth is Reactive, probabilistic network operations Packet routed (connectionless) IP/MPLS Packet MPLS-TP Packet switched Carrier Ethernet Transport OTN/DWDM Circuit switched (connection-oriented) Capacity Engineering Move bandwidth to where traffic is Proactive, deterministic network ops Trend Tomorrow Yesterday11 © Ciena Confidential and Proprietary
  • 12. Packet Transport: Which Attributes do we Value? Dramatically lower cost / bit Liquid, on-demand bandwidth Comprehensive High-frequency trading OAM&P Toolbox Auto-Restore Traffic99.9999% availability, survivability Application-sensitive latency Packet Transport Design Objectives 12 © Ciena Confidential and Proprietary
  • 13. De-Costing LTELTE Backhaul Issues LTE Backhaul Solutions Complex protocol stack Simple protocol stack MNO user IP Full suite of sync choices Transport IP backhaul Application enablement <10 msec latency Mobile broadband, cloud Provisions and restores faster Service turn-up speed 30% incremental savings 13 © Ciena Confidential and Proprietary
  • 14. The Secret Sauce: Network Intelligence Auto-Discover1 TopologyAutomated Topology Discoveryself-inventory OSS2 InitiatedAutomated Path computationconnection (static and on-demand)management3Self-healingnetwork Auto-Restore Coordinated survivability across layers Traffic Planned Maintenance4 OSS InitiatedEfficient Multi-layer cost optimization,planning & Migrated Traffic alarm correlationoperations Automation: deterministic and de-costed 14 © Ciena Confidential and Proprietary
  • 15. Proactive OAM&P Operations, Administration, Maintenance, and ProvisioningTurn-up Acceptance and SLA Conformance TestingLayer 3 SLA Monitoring & Metrics: Delay, Jitter Multi-layerLayer 2 SLA Monitoring & Metrics: Delay, Jitter, Frame Loss correlation for faultLayer 1 OTN OAM diagnostics, localizationLayer 0 Photonic OAMService Heartbeats, End-to-End & Hop-by-Hop fault detectionEnhanced troubleshooting, rapid network discovery Visibility, Manageability & Control 15 © Ciena Confidential and Proprietary
  • 16. Simplifying The Wireless Network Mobile Device Applications IP IP-aware Packet Optical Express Multi-layer Transport & Switching Management, 100GE Planning & 10GE POTS Optimization Tools Distributed intelligent control plane Ethernet & Optical On Ramp Access/Metro Core Services Packet Packet Optical Packet Transport Ethernet Access Aggregation Transport Express 16 © Ciena Confidential and Proprietary
  • 17. SummaryPacket Transport for Wireless (and almost everything else) New Packet Key value in consumption Transport network patterns driving growing in intelligence / packet capacity importance control plane  Connection-  Focal point for  Multi-layer Oriented improvements in intelligence cost, performance  Transit-heavy  Proactive OAM17 © Ciena Confidential and Proprietary
  • 18. Thank You© Ciena Corporation