The field trial demonstrated long haul network operation and interoperability of coherent optics modules from different vendors with Cassini open packet optical switch, reaching 200 Gbps on a distance of 641 km between the cities of Lima and Trujillo in Peru.
LIMA, Nov 11, 2019: Whitestack announced successful completion of the first field trial of Cassini, the Open Optical & Packet Transponder from the TIP (Telecom Infra Project)’s OOPT (Open Optical & Packet Transport group), on a live DWDM (Dense Wavelength Division Multiplexing) network operated by Telefónica del Perú.
This field trial has defined a new milestone in open networking and disaggregated optical systems. We have demonstrated high capacity circuits on an existing line system with a disaggregated packet and optical system that integrates several vendors through the use of open standards. Modules from different vendors were enabled and inter-operated with the integration of TAI in the network operating system. Cassini devices were discovered and provisioned by an open source SDN controller via an Open API, showcasing the system control and configuration capability and enabling the plug-and-play of transponders.
The field trial deployed Edgecore’s Cassini packet optical switches running IP Infusion’s OcNOS, between the cities of Lurín, Lima and Trujillo, equipped with CFP2-DCO modules from Lumentum and CFP2-ACO modules from Lumentum and Fujitsu Optical Components (FOC), on an existing third party optical line system.
The Cassini packet optical switch is Edgecore’s flagship whitebox platform for service providers’ edge and core networks. OcNOS supports service provider applications for long-haul and metro transport use cases using Transponder Abstraction Interface (TAI) as the south bound interface to the optical modules and Netconf/Openconfig north bound interface for integration to SDN controllers. During the trial, a subset of the Openconfig interfaces was used to discover, manage and configure the optical link parameters - specifically modulation, frequency and power, by ONOS (Open Network Operating System), the ODTN (Open Disaggregated Transport Network) SDN controller from Open Networking Foundation.
The tests were performed on the production optical transport network operated by Telefónica del Perú, where channels were reserved for the alien wavelengths and established without affecting existing production traffic. Cassini was successfully used at 200Gbps over a distance of more than 600 km and at 100Gbps over a distance of more than 1200 km with successful packet stress testing (RFC 2544) results.
Cassini and OOPT have demonstrated outstanding spectrum efficiency over a challenging Optical Line System. They developed the trial in a smooth and controlled way.
-- Juan Comerma, CTIO at Telefonica del Perú
In the metro scenario, 200Gbps with DP-16QAM modulation link was established into the DWDM grid for existing 100Gbps channels to increase total system capacity between Lurín and Lima.
In the long-haul scenario, the CFP2-DCO modules closed the bi-directional link at 200Gbps with DP-8QAM modulation between Lima and Trujillo over a distance of 641 km, For the protection path over a distance of 1252 km, the CFP2-ACO modules established the link at 100Gbps with DP-QPSK modulation.
“We see this trial as a very important first step on our journey to introduce and evaluate the performance of the ‘Open Approach’ in a network section that traditionally works in a vertical and closed way”, said Juan Comerma, CTIO at Telefonica del Perú.
The success of this trial was the result of effective integration by Whitestack and Telefónica of technologies from Edgecore, Fujitsu Optical Components, IP Infusion, Lumentum and NTT Electronics America Inc, with the support of the Open Networking Foundation, the Telecom Infra Project and Whitestack.
Whitestack is developing a number of solutions around the Telecom Infra Project technologies, such as Cassini, the open transponder for high capacity Datacenter Interconnect and Backhaul. This is aligned with its vision of open networking to achieve high scalability more efficiently.
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