Use cases in network operations in telco cloud
draft-hu-neotec-usecases-notc-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Jiayuan Hu , Fan Zhang , Yongqing Zhu , Chongfeng Xie | ||
| Last updated | 2026-01-06 (Latest revision 2025-07-06) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document presents two network operations in telco cloud orchestration use case for AI-based video recognition in smart city management and dynamic high-bandwidth transport. Key innovations include dynamic resource scheduling across heterogeneous computing (GPU/NPU) and network domains, centralized training with distributed inference, and low-latency data transmission compliant with data sovereignty requirements. Additionally, the use case demonstrates elastic bandwidth provisioning and failover mechanisms to ensure reliability. The framework highlights the need for standardized interfaces between cloud and network controllers to optimize performance, resource utilization, and QoS in telecom cloud environments.
Authors
Jiayuan Hu
Fan Zhang
Yongqing Zhu
Chongfeng Xie
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)