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White Paper
Forecasting Traffic Growth and Impact with Cisco
MATE Design
MATE Design
Forecasting Scenarios for Planners, Engineers, and Operations
What You Will Learn
The ability to predict the impact of traffic growth is critical for planning and designing stable and resilient networks.
Network planners, design engineers, and operators need precise, reliable, and fast network modeling tools to help
model traffic trends, visualize growth, and determine when optimization and upgrades are necessary. Cisco
®
MATE
Design is an industry-leading solution for planning and designing IP/MPLS networks. It offers network planners,
designers, and engineers the ability to:
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View the impact of adding customers and services to the network infrastructure
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Rapidly create models of future network-wide growth to plan the network infrastructure
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Determine when optimization and upgrades will be necessary based on trending traffic data from Cisco
MATE Live
Planning for Additional Customers and Services
Knowing the impact of adding customers or services to the network helps maintain a high average return per user
(ARPU) and assists in rightsizing the network over time.
A simple way to forecast growth on network infrastructure is to add traffic to and from a specific location. MATE
Design helps enable you to simulate potential traffic in the network with demands. Each demand has a single
source (node or external Autonomous System (AS), and an egress destination (node, external Autonomous
System AS, or multicast destination). All demands are treated the same by the network. Simulation in MATE
Design constantly examines traffic demands, network topology, element configuration, and state, and instantly
updates the property tables and the Simulated Traffic view in the network plot. You can select, filter, and organize
demands in the demands table.
By adjusting the Simulated Traffic view (Figure 1) and modifying the information in the property tables, network
planners can quickly see the impact of changes to any traffic demand, network topology, element configuration, or
other object state. Upon modeling changes to the network, the simulated effects on the network infrastructure
become immediately apparent.