cable metro packet optical transport

14
Cable Metro Packet Optical Transport Juniper Networks Distinguished Engineer & Chief Architect for Cable MSO Networks Andrew Smith

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At the Society of Cable Telecommunications Engineers Expo 2014, Andy Smith of Juniper Networks presented Juniper’s vision and architecture for a cable oriented packet optical core and metro transport system. Access insights and network diagrams in his presentation and learn more in his blog post: http://juni.pr/1rwapCG.

TRANSCRIPT

Page 1: Cable Metro  Packet Optical Transport

Cable Metro

Packet Optical Transport

Juniper Networks

Distinguished Engineer & Chief Architect for

Cable MSO Networks

Andrew Smith

Page 2: Cable Metro  Packet Optical Transport

The Network is FundamentalBut there are too many manual, fragmented

parts

Manually Operated

Fragmented Domains

The Network Must:

• Remove barriers

• Synchronize dynamically

• Respond to accelerating change

IP TRANSPORTSERVICES

Page 3: Cable Metro  Packet Optical Transport

Networks Need to CustomizeCable networks need to adapt to changing

requirements and conditions

COMPLEX

Exponential Growth,

Fragmented,

and Manual

OPERATIONS

INEFFICIENT

Over-provisioned

and Hardware

Dominated

INFRASTRUCTURE

RIGID

Limited Analytics,

Fixed Policies,

Months to Change

SERVICES

Page 4: Cable Metro  Packet Optical Transport

Packet Transport is KeyDynamic, efficient, flexible, programmable

EFFICIENT

Any to Any

Low Latency

Dynamic

PACKET

SWITCHING

ELASTIC

Load Adaptable

Resource Optimized

Highly Available

MPLS TRAFFIC

ENGINEERING

PROGRAMMABLE

Intelligence,

Programmability &

Abstraction

APPLICATION

AWARE

Page 5: Cable Metro  Packet Optical Transport

Silicon – Heart of Modern RoutersCapacity exceeding Moore’s Law

Total single system capacity will exceed 100Tbps shortly

Switching latency, port-to-port, < 10 usec

640G

1.6T

3.2T

24T

2002

Single System n-Degree Capacity

100+T

2017

Moore’s Law

Power/Thermal Efficiency

Power Utilization(Tb per KW)

1.2

Thermal Emission (BTU per Gbps)

2.8

Capacity Footprint

Per Rack Capacity (Tbps) 7.68

Capacity Footprint (Gbps per cu-in)

533

Platform Characteristics

Depth (mm) 270

Minimum Power (KW) 1.2

Latency (us) 5

PTX3000 Reference Platform

Page 6: Cable Metro  Packet Optical Transport

Packet System EfficiencyElasticity and Efficiency are Mandatory

Statistical multiplexing – resource sharing and adaptation to service

demands

MPLS LSP Bandwidth reservations dynamically adapt to the constantly

changing network demands

Persistent and ephemeral path creation via SDN controller

Dynamic and planned adaptation via SDN controller

Packet Forwarding Engine

Efficiency

Elasticity

Reconfigurability

Page 7: Cable Metro  Packet Optical Transport

Peak value P1

Bit

-rat

e

time

Peak value P2B

it-r

ate

time

PE1 to PE2 traffic

PE3 to PE4 traffic

OTN circuit size

OTN circuit size

Wasted Bandwidth

Wasted Bandwidth

PE1 PE2

PE3 PE4

Core

B/W ?

Packet ElasticityStatistical Multiplexing

With packets, required bandwidth in

core is less than P1 + P2– Statmux gain is more pronounced with greater

flows and higher variation of each flow. Modern

cable networks exhibit this behavior.

– In contrast, circuit-switched networks require

one circuit of size P1 (at least) and another of

size P2 (at least)

TDM circuit sizes are quantized with

large steps, bandwidth is wasted by

‘rounding up’– OTN granularity is relatively very course. ODU0

– 1.25 Gb/s,

Cable networks are also very

asymmetric!

Page 8: Cable Metro  Packet Optical Transport

A Packet Transport MPLS LSPElastic and Adaptive, Service Oriented

B/W reservation & guarantees

ElasticAdaptive

Loss & delay reporting

Unidirectional

Bi-directional & associated

Facility protection

Path protection

Node protection

Control-plane separation

Multi-path aware

Point-to-point

Point-to-multi-point

QoS

OAM reporting

Hierarchical LSPs

Multi-protocol

Explicit or dynamic or loose hops

Page 9: Cable Metro  Packet Optical Transport

Multi-layer Meshed Network

Collapsed Packet-Transport Network Fabric

Modern Cable TransportPacket Applications, Services, Transport

Cable networks are dominated by

router-to-router IP services and data

center interconnect– Point-to-point DWDM designs

– Higher speed router links (Nx100G)

A response function of the network– Analytics at every transport node

– Offered load is visible at the transport layer

– Network fabric can react

Transport modern cable services– Full suite of contemporary high-speed

residential Internet services, IPv4 / IPv6

– Emerging cloud and multimedia services

– Commercial L2/L3VPN, Internet

– Cell tower backhaul

– Enterprise services

Page 10: Cable Metro  Packet Optical Transport

Peer Discovery

Property Exchange

1Tb Transport-group

800G Transport-group

Automate for SimplicityOptical Plug-n-Play: Dynamic DWDM

Optical Peers– Dynamic discovery of adjacent peers with

optical capabilities – 100G coherent

transponder

– Via supervisory channel or DCN

Optical properties exchanged– Session establishment if and only if optical

properties of physical link are interoperable

– Exchange of “transport group” characteristics

Transport-groups– Definition and exchange of desired bandwidth,

inclusive of wavelength restrictions

– Wavelength channel allocation

Page 11: Cable Metro  Packet Optical Transport

MPLS Transport Service CreationMerge Benefits of Packet & Transport

• LSP Control, Creation, & Path Optimization

• Path Diversity (Link, Node, Facility)

• Bandwidth Scheduling & Calendaring

• Fast Reroute Planning

• Programmable Path Cost Functions

• Optimized Exit Control

• Global Concurrent Optimization

• Container LSP association (Auto-B/W & LSP multi-path/load-balancing)

ROUTING Distributed control Stat mux gain Multi-hop resilience Service integration Feature breadth

TRANSPORT Centralized control Predictability Dedicated bandwidth Fast recovery Operational

simplicity

SDN TE

NETWORK

CONTROLLER

Page 12: Cable Metro  Packet Optical Transport

SOFTWARE-DRIVEN POLICY

Topology Discovery Path Computation Path Installation

PCEP - LSP discovery

IGP-TE, BGP-LS - TED discovery

jVision – Streaming Analytics

PCEP – Control/Create traffic engineered LSP

Netconf/YANGMay include: BGP, DMI, OpenFlow, I2RS

ANALYZE OPTIMIZE VIRTUALIZE

Routing Netconf/YANGPCEPJunos CSPF Algorithms

Self Optimizing EfficiencyStateful WAN Controller Creates Paths

Bin-Packing

Defrag

Premium Paths

Scheduling

Calendaring

Predictability

Adaptive TE

Inter-Domain Routing

Global concurrent optimization

Network lifecycle management

Page 13: Cable Metro  Packet Optical Transport

AgentRPD

Kernel

PFE PFE PFE

Sensors

Programmable objects to tap into any state of the network node

Capabilities can be enhanced over time

Standard IP based interface with data store

Decoupling

Telemetry data is outside JUNOS

Extendible client interface

Different analytic views can be provided independent of JUNOS

PCE Controller

S S S

Analytics

Leverage Deep AnalyticsMultiple sources of data for optimization

Jvision – provides analytical insight into Juniper products. Data ‘pushed’

to external nodes in band

Other sources of intelligence via PCE plugin -- real time video

application feedback for cable networks

Page 14: Cable Metro  Packet Optical Transport

In ConclusionOpen standards, interop and innovation

AUTOMATE

Open multi-vendor

technologies for

simplicity and agility

SCALE

Ultra-high

performance and

efficient systems and

solutions

OPEN STANDARDS

Open, multi-layer,

multi-domain SDN

and comprehensive

NFV