• Resource Management

  • Speech

  • Intelligent Caching & P2P

  • Data Compression

  • Operational Capacity Improvement

  • Intelligent Risk Management

Resource Management
  • Scheduling Optimization of Cloud Resource Management

    To solve the new optimization problems on the cloud, including online resource provisioning, offline resource sorting, etc.., we need to optimize the existing operations optimization algorithms or use reinforcement learning algorithms popular in recent years based on
    data-driven solutions.

  • Cloud Resource Portrait

    Using machine learning to profile users, VMs, storage and other
    resources to make resource allocation more efficient.

  • Voice Classification

    Researching on how to use machine learning to detect and recognize sound events, such as baby crying, glass breaking, animal calls, etc. Some of the algorithms has already been successfully applied to Tech4all rainforest projects (detecting the sound of chainsaws, spider monkey calls).

  • Domain Custom ASR

    Domain custom ASR engine consists of flow recognition, phrase sound recognition and long speech recognition, which are widely used in customer service agents, finance and other fields.

  • Keyword Spotting

    The user-defined keyword spotting algorithm can generate a customized model without training corpus and can be deployed on the edge and cloud side as needed to meet the user's personalized needs.

Intelligent Caching & P2P
  • AI for System

    Exploring the architecture and algorithm of a new generation of learned system with self-learning, self-adaption and self-optimization capabilities for the cloud computing system. Promoting it from heuristic architecture and algorithm to learning architecture and algorithm. The algorithm has been successfully applied in learned partition, learned sorting and construction of learned multidimensional index. Cloud data services
    are being further explored and researched now.

  • Intelligent Cache

    CDN will become a media intelligent pipeline supporting emerging technologies. A new generation of CDN intelligent cache engines and algorithms will be implemented through a learning architecture. Enhancing cache algorithm business perception and data-driven AI self-learning capabilities, improving CDN hit rate and  enhancing CDN outflow, can greatly save CDN bandwidth and server costs. Research directions includes learned memory caching algorithms, learned disk caching algorithms, multi-level cache intelligent scheduling algorithms, intelligent cache admission algorithms, and cache portrait algorithms.

  • Intelligent P2P Network

    The research mainly focuses on the CDN + P2P architecture and algorithm of end-to-end cloud collaboration. The intelligent P2P content distribution network effectively disperses hot content, greatly reduces the peak pressure and bandwidth cost of CDN and improves the user experience. Research directions include P2P low-latency networking algorithms, P2P fast distribution algorithms, P2P hotspot prediction algorithms, P2P scarce seed prediction and scheduling algorithms.

Data Compression
  • Data Compression

    In storage and database systems, the cost of data storage needs to be reduced. Lossless compression algorithms can reduce data storage space without loss of information. Currently we are focusing on lossless compression algorithms for various types of data, including multimedia
    data (images, videos), general data, time series data, etc.

Operational Capacity Improvement
  • Operational Capacity Improvement

    Basing on machine learning, deep learning and other algorithm technologies, the algorithm provides multiple operational analysis capabilities around HUAWEI CLOUD's multiple business operation scenarios, such as cloud service product recommendation, business marketing management and control, and user churn prediction, etc., which would improve HUAWEI CLOUD's operational efficiency and user experience.

Intelligent Risk Management
  • Intelligent Risk Management

    With the help of machine learning and AI algorithms, we are able to finish real-time analysis of risk relationship association and mobile device behavior, helping HUAWEI CLOUD operations resisting risk users strongly associated with violating users, and at the same time defending against group control device attack groups, targeting common Internet black and gray products. Fraud attacks form intelligent and efficient prevention and control, and build an operational security defense system.