Size daha iyi bir deneyim sunmak için çerezleri kullanıyoruz. Ziyaretinizi varsayılan ayarlarla gerçekleştirerek, çerez kullanımına izin vermiş oluyorsunuz. Çerez politikasını inceleyin.
Ulusal Araştırma ve Eğitim Ağı
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Internet Service Providers
Multi-Tenant Data Center | Managed Service Providers
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Sunucular - Akıllı Bilgi İşlem
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Huawei'den Satın Alın
Projeniz hakkında bilgi almak için formu doldurun ve sizinle bir iş günü içinde iletişime geçelim.
İlgilendiğiniz ürünler/çözümlerle ilgili çevrimiçi müşteri hizmetlerine danışın.
Şirketiniz Huawei ile eDeal imzaladıysa, lütfen gerekli ürün/çözümü aşağıdaki bağlantıdan satın alın.
Yakınlarda bir satıcı arayın veya direkt iletişim bilgisi edinin.
İş Ortağı Bulun
İş Ortağı Olun
İş Birliği ve Çözüm Ortağı
Huawei Yetkili Öğrenme Ortağı
Huawei ICT Akademi
Huawei ICT Yarışması
Kurumsal Eğitim Hizmeti
With real-time resource visualization, agile service provisioning, and automatic network Operations and Maintenance (O&M), the feature-rich iMaster NCE-T meets the demanding requirements of transport networks. It enables enterprise private lines and Data Center (DC) interconnection networks to deliver an innovative service experience, while providing flexibility and efficiency.
As the core enabler of Huawei’s Intelligent Optical Network, iMaster NCE-T is designed for a range of transport networking scenarios, including backbone, metro, and enterprise access networks.
Enables quick deployment of CPEs and allocation of OVPN resources in the voluntary deployment and allocation phase. Time to Market (TTM) is shortened from days to hours.
After service intention is specified (source, sink, protection type, and bandwidth), the system automatically calculates the optimal route and completes service provisioning in real-time or as scheduled.
Bandwidth can be expanded either in real-time or as scheduled based on service and burst traffic requirements, enabling a pay-as-you-grow business model.
Network latency can be visualized, managed, calculated, and monitored, meeting the requirements of even the most demanding users.
|Resource Visualization||The unified database of iMaster NCE is used to complete aggregation analysis and automatic reconciliation in minutes to implement real-time visualization of resource status. Resource check efficiency is improved by multiple times, precise prediction and expansion are performed, and resources are ready in advance, shortening the TTM to hours.|
|Latency Map||Based on the latency measurement technology of physical boards, precision can reach as low as 0.1 ms. The latency of private lines can be sensed, sold, committed, and guaranteed, enabling monetization of latency performance.|
|CPE Plug and Play (PnP)||One site visit, automatic CPE discovery, automatic CPE creation, and online commissioning simplify CPE management of carriers, reduce labor costs, and improve delivery efficiency by 60%. Provides IT-based, HBB-like, and self-service user experience, and services can be provisioned in 30 min after CPE goes online.|
|Agile Service Provisioning||Provides display of private line resources in the form of shelves, with E2E provisioning of private line services in seconds. Users can adjust bandwidth by themselves, achieving fast innovation of new services. Supports legacy + SDN networks, which are compatible with inventory networks. Simplifies the service mode, reduces the workload of interconnecting with the BSS/OSS by 50%, and accelerates service innovation.
|OVPN||Provides optical and electrical flexible hard slicing and physical security isolation to ensure SLA of different services. One network is used for a variety of purposes, and resources can be shared, achieving optimal network values.|
|SLA Visualization and Assurance||Breaks the black-box mode, provides real-time visualization of private line SLAs and self-service mode for tenants. Private line KPIs such as fault time, latency, and packet loss rate can be perceived in real-time. Assurance of private line SLA operation and proactive service care are provided, improving user experience.|
|Health Prediction||Analyzes the health status of each fiber and channel through big data AI algorithms, and predicts fault and specific fault risks (based on the optical performance change trend) one hour, one day, one week, or one month in advance. Prevents network risks and provides rectification suggestions, achieving proactive O&M, ensuring user experience, and reducing troubleshooting costs by 20%.|
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