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Huawei Launches Cloud Fabric 5.0 Solution to Improve O&M Efficiency of DC SDN Networks

Huawei Launches Cloud Fabric 5.0 Solution to Improve O&M Efficiency of DC SDN Networks Image Credit: Huawei

Last week at Huawei Connect 2016 in Shanghai, Huawei launched the Cloud Fabric 5.0 Solution for cloud services, with a Huawei Fabric Insight Refined Operations and Maintenance (O&M) Solution as its core.

Huawei claims that the Software-defined networking (SDN)-based cloud O&M Solution locates faults within minutes through visualized network status measurement and management as well as Big Data-based intelligent analysis, helping customers improve O&M efficiency and lower O&M costs.

Huawei’s Fabric Insight Refined O&M Solution helps cloud data centers improve O&M efficiency through Network-wide visualization application and Network-wide path quality scanning application. 

The Network-wide visualization helps to monitor health status of applications and networks, comprehensively measuring and analyzing based on the statistics of application quality, logical and physical network elements, as well as the use of network functions and features on the service, logical, and physical networks. 

The Network-wide path quality scanning enables information about network path quality and status is periodically obtained and network paths are dynamically adjusted as network status changes. Huawei claims that an innovative Big Data analytics algorithm is used to quickly detect all the network paths and locate faults within minutes.

Yu Li, General Manager, Data Center Network Domain, Huawei
The Huawei Fabric Insight Refined O&M Solution implements service-oriented O&M and management, helping customers enable intelligent network O&M, reduce obstacles during cloud-based service migration, and accelerate cloud transformation and upgrades.

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Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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