Traffic Engineering Beyond MPLS Apricot 2004 Tutorial February 24, 2004 Kuala Lumpur, Malaysia Arman Maghbouleh John Evans Cariden Technologies, Inc. Cisco Systems, Inc. arman @ cariden.com joevans @ cisco.com (c) cariden technologies, cisco systems TE Beyond MPLS Tutorial Apricot 2004 1 Carrier IP Backbone Engineering Models Simple Dynamic Controlled (cid:127) Emphasis on (cid:127) Emphasis on (cid:127) Emphasis on Scalability Smart Network Asset Utilization (cid:127) Low Overhead (cid:127) Service-Aware (cid:127) Optimize Offline Protocols Protocols – Static Explicit – Pure IP – MPLS CSPF MPLS/ATM PVC – No CoS – Diffserv/–TE – 50% Upgrade Simple++ (cid:127) Pure IP for scalability (cid:127) Capacity Planning/TE for QoS (CoS for insurance) (cid:127) Metric-Based Offline TE for Control TE Beyond MPLS Tutorial Apricot 2004 2 Goals (cid:127) Investigate Assumptions Behind Models – Dynamic (cid:127) Internet traffic is highly variable and bursty. – Simple (cid:127) Capital expenditures not significant. – Controlled (cid:127) Shortest path first protocols do not provide enough levers of control. – Simple++ (cid:127) Smart Network Engineering vs. Smart Networks (cid:127) Demonstrate Simple++ TE Beyond MPLS Tutorial Apricot 2004 3 Summary (cid:127) Traffic Characteristics – Long term is smooth and predictable – Uncorrelated microbursts – High utilization with little delay at high capacities – Little need for dynamic routing or queue management (cid:127) Simple++ – Traffic Matrix (Measure, or Estimate) – Capacity plan based on failure simulation – TE without Layer 2 Overlay (cid:127) Computer-Aided Metric-Based TE ≈ as Efficient of Theoretical Optimum (though more scalable) (cid:127) Multiple Routes to High Availability – Fast Reroute – Fast Convergence TE Beyond MPLS Tutorial Apricot 2004 4 MPLS TE Aspects (cid:127) Covered Here – Efficient Use of Assets – QoS – Fast Reroute (cid:127) Not Covered Here (less backbone relevance) – Admission Control – Route Pinning TE Beyond MPLS Tutorial Apricot 2004 5 What is Covered Core IP / MPLS Network Low Loss/Latency/Jitter High Availability Diffserv IP Traffic NSF/ FRR Engineering SSO Fast IGP BGP Convergence Ad Hoc IGP Metric- Security Based TE MPLS TE TE Beyond MPLS Tutorial Apricot 2004 6 Agenda I. Traffic Characterization II. Traffic Matrices III. TE Introduction IV. Metric-Based TE V. Convergence TE Beyond MPLS Tutorial Apricot 2004 7 Traffic Characterization I. Traffic Characterization (cid:127) Long Term (minutes +) II. Traffic Matrices (cid:127) Short Term (milliseconds) III. TE Introduction IV. Metric-Based TE V. Convergence TE Beyond MPLS Tutorial Apricot 2004 8 Traffic Characterization (cid:127) Long-Term 100% – Measured Traffic micro-bursts (cid:127) E.g. P95 (day/week) – Accommodate failure failure & growth and growth (cid:127) Short-Term – Critical scale for queuing – Determine over- measured traffic provisioning factor that will prevent queue buildup against micro- bursts 0% 24 hours TE Beyond MPLS Tutorial Apricot 2004 9 High- vs. Low-Bandwidth Demands Cleveland -> Denver Washington D.C. -> Copenhagen Mean=64Kbps, Max=380Kbps Mean=106Mbps, Max=152Mbps P95=201Kbps, Std. dev.=66Kbps P95=144Mbps, Std. dev=30Mbps TE Beyond MPLS Tutorial Apricot 2004 10
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