Canarie - About the Network


About the CANARIE Network

Click for larger viewThe CANARIE Network is among the world’s most advanced national research and education networks. CANARIE is a high performance hybrid network that supports data-intensive research and innovation across a range of private and public sector users. This hybrid network infrastructure, equipped with leading-edge optical and routing equipment, enables CANARIE to offer traditional IP network services and Lightpath services (dedicated end-to-end connections) while continuing to develop new network service offerings.

CANARIE acquired fibre to build two ROADM (Reconfigurable Optical Add Drop Multiplexer) networks. These two networks give CANARIE an ability to expand to 100Gbps as the need for capacity requirements continues to grow dramatically.

In addition to ROADMs, the SONET network layer is built using a mixture of CANARIE-lit wavelengths, carrier-leased wavelengths and wavelengths swapped with like-minded organizations. Currently, all wavelengths are 10Gbps unprotected point-to-point connections, which terminate on transport switches located in CANARIE Network Points of Presence (PoPs).

With the hybrid infrastructure, the CANARIE network offers greater flexibility in service offerings in order to meet the changing needs of users, from Megabit connections to multiple Gigabit connections that are needed by users who require network capacity to support very data-intensive applications, such as High Energy Physics applications.

In terms of capacity, CANARIE currently averages 6600 terabytes of data per quarter, a terabyte being equivalent to a trillion bytes. To put this into perspective, it would be equivalent to transmitting the complete contents of 3,300 academic research libraries every three months, or roughly one entire academic research library every 40 minutes. For the research and innovation community it serves, CANARIE offers unfettered speed and capacity that accelerates discovery and enables rapid sharing of critical data and toolsets.