China Telecom Completes Virtual IMS Proof of Concept with Wind River Titanium Server
Published2017.02.01 12:01Development Time Shortened, Testing Costs Reduced, and Productivity Enhanced
Wind River announced that China Telecom, a state-owned telecommunications company, has completed a proof of concept (PoC) for virtual IMS (vIMS) applications based on its network function virtualization (NFV) infrastructure platform "Wind River Titanium Server."
China Telecom, a state-owned telecommunications company, provides 4G mobile, broadband, and data center services to over 200 million subscribers. Recently, it has been leveraging network virtualization to accelerate the deployment of wired and mobile broadband functions such as vEPC, vIMS, VoLTE, video quality assurance, and IoT.
After conducting thorough technical reviews, China Telecom completed an NFV infrastructure evaluation based on Wind River Titanium Server and subsequently adopted Wind River Titanium Server as the platform for virtual IMS PoC.
Through alternative NFV infrastructure vendors, China Telecom sought to implement "three layer decoupling" that emphasizes independence across layers, rather than a vertically-oriented NFV solution. Notably, when executing vIMS virtual network functions (VNF), the company required a commercial, carrier-grade NFV platform delivering significantly higher performance levels compared to vanilla open source cloud platforms.
For the vIMS proof of concept (PoC), China Telecom tested virtual IMS VNFs from Ericsson, Huawei, Nokia, and ZTE. All were hosted on NFV platforms supplied by Titanium Server and other vendors, and end-to-end applications could easily test and validate compatibility with open standards from Intel and other manufacturers. Testing in this multi-vendor environment focused on stability, robustness, real-time forwarding performance, and maintenance.After completing the PoC based on Wind River Titanium Server, China Telecom reported shortening development time by three months compared to using other NFVI solutions, reducing testing costs by 30%, and improving engineer productivity.
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