Packet-optical networking supplier Transmode Systems AB says the regional government of Khabarovsk, Russia, has maximized the interconnection capacity between its data centers using Transmode's TM-Series Intelligent WDM (iWDM) optical platform. The deployment will provide e-government services for the businesses and 1.4 million population of the Khabarovsk region in the far east of Russia.
The Khabarosk regional government chose to work with Russian systems integrator LANIT-PARTNER, and together they chose Transmode as the optical networking provider. Initially the new equipment will provide 10 Gigabit Ethernet and Fibre Channel services for both the backup and main data centers. The decision to deploy Transmode’s product was based on the vendor meeting the ultra-low latency targets demanded for the project, according to the systems vendor.
"This new network will greatly increase our ability to deliver high quality e-government services to a broad user base," said Igor Pavlichenko, head of department in the Committee for Information Technologies and Telecommunications within the Khabarovsk regional government. "The combination of superior technology from Transmode and local expertise from LANIT-PARTNER has provided us with the ideal platform for today's and tomorrow's needs."
The new network was jointly designed by Transmode and LANIT-PARTNER. The installed iWDM equipment includes rack-mounted units with a small (6RU) footprint and sub 20-ns latency to ensure the Khabarovsk government can deliver high-speed capacity for its e-government initiatives. This provides a resilient and secure network with open standards to meet all of the regional government's requirements, Transmode says.
Vladimir Rimer, general director of LANIT-PARTNER said, "We chose Transmode's optical platform for this system as it is state-of-the-art, complies with all modern standards, and is able to comply with the most complicated technical requirements of our customer. We were able to link these data centers with a fiber-optic network that is scalable and we have minimized the rack space using a compact node for the amount of capacity it offers."
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