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Deep-Dive with the Cisco
WAN Automation Engine
Josh Peters joshpete@cisco.com
Derek Tay derekta@cisco.com
CiscoLive 2015 – San Diego
DevNet
WAN Automation Engine
Delivering Optimization and Automation
Modeling
What if/predictive analysis
Global optimization
Assess historical and
real-time data
Find and manage hot spots
Network efficiency analysis
Programmatic network
control
Extensible,
open data models
Real-time traffic balancing
Intelligent bandwidth
scheduling
Automated service delivery
WAE
Cycle
WAN Automation Engine
Network Plan
WAN Automation Software Suite
Design and Network Planning
Network
Planning
Optimization Failure
Analysis
Visualization, Analytics, BI, Inventory
Weather Map
Business
Intelligence
Network
Inventory
Service, Network,
and Analytics
REST APIs
Optimization and Prediction
DeployerCollector
New ModelCurrent Model
CalendaringAnalytics
Collection Drivers
NMS/EMSNetFlowCLISNMP BGP-LS ...PCEPOSC
NC/YA
NG
WAN Automation Applications
Optimize Bandwidth Placement
Bandwidth
Calendaring
Bandwidth on
Demand
Automated Tunnel Creation and
Traffic Load Management
Tunnel SplitterTunnel Builder Tunnel Balancer
Managing Resource Inventory,
Security, and Maintenance
Inventory
Maintenance
Window
Scheduler
Network ACL
Manager
Offline Planning, Design and
Analysis
Offline Planning
IGP Convergence
Analyzer
Failure Analysis
Online Visualization, Analytics, and
Business Intelligence
Weather Map
BGP Route
Visualizer
Business
Intelligence
Extensible Application Integration
Application
Latency Routing
Segment
Routing
Optimizer
WAE Use Cases
Unified Multi-Layer
Global network view | Optimization across layers
Futures: Add OTN to Activation, Planning and Optimization
Segment Routing
Built for SDN | Foundation for Application Engineered Routing
Applications will have the ability to direct network behavior.
WAE Applications
Coordinated Maintenance, Bandwidth Calendaring
Data Centre
B
Data Centre
A

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  • 2. WAN Automation Engine Delivering Optimization and Automation Modeling What if/predictive analysis Global optimization Assess historical and real-time data Find and manage hot spots Network efficiency analysis Programmatic network control Extensible, open data models Real-time traffic balancing Intelligent bandwidth scheduling Automated service delivery WAE Cycle
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