中国电信云计算研究院

Next-Generation Network:Network Cloudification;Intelligent Carrier Networks;End-to-End Collaboration;High-Quality Networking. Computing Power Network:Computing Power Perception and Measurement;Computing Power Identification;Computing Power Trading. Unified Management of C...

Next-Generation Cloud Computing Infrastructure:Unified management of heterogeneous computing power,disaggregated data center architecture,programmable distributed storage.Next-Generation Cloud Computing Programming Paradigm:Serverless computing,intelligent native computin...

The Intelligent Algorithm Research Center is committed to advancing the application and innovation of intelligent algorithms in cloud computing. Through in-depth theoretical and technical research, the center aims to enhance the intelligence level and overall performance ...

Intelligent Protection:1.Intelligent Threat Detection and Defense;2.Intelligent Risk Assessment and Prediction;3.Intelligent Intrusion Detection and Response Low-altitude Intelligent Network:1.Communication and Network Protocols;2.Navigation and Positioning Systems;3.Air ...

Cloud-Network Convergence

Next-Generation Cloud

Intelligent and Algorithmic Design

Emerging Technologies

Unified Management of Cloud and Network Resources

For large-scale heterogeneous resources at the million-level scale, challenges such as high complexity in dependencies and matching between heterogeneous resources, as well as difficulty in ensuring balance after adjustments, must be addressed. To enhance the accuracy of large-scale resource matching and scheduling, it is necessary to ado...

Computing Power Network

The Computing Power Network is a technological framework that leverages the network control plane to transmit computing power and other resource information. Based on this, it enables information association and high-frequency transactions among diverse and heterogeneous resources, including computing, storage, and networking. This approa...

Next-Generation Network

The next-generation network focuses on four key areas: network cloudification, intelligent carrier networks, end-to-end collaboration, and high-quality networking. By leveraging cloud computing technologies, it enables flexible resource allocation, optimizes network management and operations, enhances collaboration across different device...

Distributed Operating System

Dealing with data center-level distributed operating systems, which possess the capability to manage ultra-large-scale heterogeneous resources, these systems improve resource utilization and system performance through intelligent scheduling and dynamic resource allocation. This approach reduces operational costs and enhances data processi...

Next-Generation Programming Paradigms

The next-generation programming paradigms include Serverless computing and intelligent native computing systems. Serverless computing allows developers to build and run applications without managing underlying servers. Through stateless function design and powerful function orchestration capabilities, it enables highly elastic resource p...

Next-Generation Cloud Computing Infrastructure

The next-generation cloud computing infrastructure achieves more efficient and flexible computing performance through unified management of heterogeneous computing (e.g., XPU) and a disaggregated data center architecture. XPU integrates different computing units such as CPUs, GPUs, and FPGAs, improving computational efficiency and resourc...

AI for Cloud

AI for Cloud integrates artificial intelligence technologies with operational practices, focusing on improving the overall performance and stability of cloud computing platforms. By leveraging advanced technologies such as large models, graph neural networks, and time series analysis, the system logs are analyzed to enable intelligent det...

Optimization and Learning Theory

The research direction of Optimization and Learning Theory is dedicated to advancing cutting-edge research in areas such as theoretical machine learning and deep learning, big data and statistical learning, as well as optimization and game theory. It also focuses on integrating cloud computing technologies to enhance the intelligence leve...

Intelligent Media Computing

This research aims to enhance the quality and efficiency of cloud video and audio-visual communications through innovative codec design and intelligent processing algorithms, enabling efficient and reliable media transmission and processing.

Artificial Intelligence for IT Operations (AIOps)

AIOps integrates big-data technology to conduct real-time monitoring and analysis, anomaly detection and root-cause analysis, as well as predictive maintenance and alarm optimization of IT system performance. It enables immediate responses to potential problems through rapid anomaly detection and predictive maintenance, reducing the syste...

Low-altitude Intelligent Network

The Low-altitude Intelligent Network is a core technological system supporting urban air traffic management and drone operations. It integrates advanced technologies from multiple fields, including communication, navigation, monitoring, and data analysis, aiming to ensure the efficient and stable operation of low-altitude airspace. As dro...

Intelligent Protection

Intelligent protection focuses on key technologies for intelligent threat detection and defense, intelligent risk assessment and forecasting, and intelligent intrusion detection and response in cloud-network environments. Our goal is to build robust protective measures that improve defense efficiency, reduce false positive rates, and addr...

Contact Us
wanghaot1@chinatelecom.cn
Downloads

China Telecom Cloud Computing Research Institute Beijing Headquarters

(No. 42, Xueyuan Road, Haidian District, Beijing)

China Telecom Cloud Computing Research Institute Shanghai Branch (No. 211, Century Avenue, Pudong New Area, Shanghai)

Beijing Public Security Registration No. 11040140060 | Beijing ICP No. 12007914

Value-Added Telecommunications Business Operation License A2.B1.B2-20090001