IoT Cloud Infrastructure

Huawei offers a wide range of cloud services, including an IoT platform and big data, security, management, and application services. These services accelerate IoT-based innovation for a variety of industries.
Solution Advantages
  • Scenario-based Solutions

    Pre-integrated and highly adaptable solutions for connected cars, public utilities, and predictive maintenance

  • Easy Device Access

    Smooth device-platform communication via IoT Agents and OSGi-based cloud inter-networking gateways (CIGs)

  • Easily Obtained Data Insights

    Value-enhancing E2E data processing capabilities, such as data injection, real-time processing, storage, analysis, and mining

  • Extended Ecosystem

    Extensive IoT application ecosystem with pre-integrated modules and devices from leading IoT vendors

Business Challenges
  • Concurrent Access Support

    Collecting a large amount of sensor and device data is the first step for IoT digitalization. Diversified protocols complicate the access. After the data is rapidly reported to the cloud, the platform must support high-concurrency processing while running stably.

  • Data Insight Extraction

    IoT processes a large amount of data from different systems. Efficiently processing and analyzing data to facilitate operations and innovate services and business models is one of the top challenges in the IoT industry.

  • Lack of App-enabling Tools

    Due to the lack of IoT enablement tools, traditional enterprises with insufficient IT capabilities cannot focus on service innovation. They have to invest too much in infrastructures, resulting in slow service rollouts and missing market opportunities.

  • Security and O&M Efficiency

    IoT networks are more complex and face more security threats, urgently needing security measures. Due to the lack of monitoring, logging, and auditing measures, and the incompatibility with third-party platforms, it is difficult to provide efficient O&M.

Typical Scenarios
  • Lots of IoT Connections

  • One-Stop Big Data Analysis

  • Diversified App Enablement

  • Security and O&M Tools

Lots of IoT Connections

Customers can build hundreds of millions of IoT connections using the following options.

  1. Option 1: Creating Connection Processing Modules Based on the IoT Platform

    Applies to one-stop pre-integration service scenarios. Customers can quickly integrate multiple devices and support hundreds of millions of connections, without needing to implement O&M.

  2. Option 2: Deploying and Migrating Existing IoT Connection Processing Modules Using Basic Cloud Services

    Applies to scenarios where customers have self-developed IoT connection processing modules. Customers can quickly deploy these modules on the cloud by using basic services such as ECS, CCE, ELB, DMS, and DDS.

  3. Related Services

    Elastic Cloud Server

    Cloud Container Engine

    Elastic Load Balance

    Distributed Message Service

    Document Database Service

One-Stop Big Data Analysis

Customers can easily gain IoT insights based on the uniform big data analysis architecture.

  1. E2E Process

    E2E IoT data processing capabilities are provided, including data injection, real-time processing, storage, analysis, calculation, mining, and presentation.

  2. Scenario-based Design

    IoT-required cloud services are provided, including SQL queries for CS, preventive maintenance modeling for MLS, and time sequence data for CloudTable.

  3. Cost-Effectiveness

    The most suitable data storage, query, and analysis architectures and solutions are selected based on customer requirements. For example, decouple computing from storage for non-real-time services to greatly reduce big data analysis costs.

Diversified App Enablement

Customers can quickly create applications based on various IaaS and PaaS services.

  1. Basic Scenario

    ECS and CCE are used to support cluster hosting and horizontal expansion.

  2. Intermediate Scenario

    Highly scalable and reliable middleware services are used to reduce O&M workload. Common middleware services for IoT include RDS, DDS, and DMS.

  3. Advanced Scenario

    Services such as FunctionGraph, ServiceStage, and DevCloud are used, so that customers can focus on business innovation.

  4. Related Services

    Elastic Cloud Server

    Cloud Container Engine

    Distributed Message Service

    Document Database Service

    ServiceStage

Security and O&M Tools

Customers can implement efficient O&M over IoT applications by using security, O&M, and management services.

  1. Management and Deployment Services

    Core O&M services such as Cloud Eye and CTS are used to facilitate O&M.

  2. Security Services

    Multiple products are used to protect the security of networks, data, hosts, and applications, enabling customers to build a secure IoT application architecture.

  3. Compatible with Leading Automation Platforms

    The OpenStack architecture is compatible with leading automation platforms such as Cloud Foundry and Terraform, so that customers can easily deploy their applications on the cloud.

  4. Related Services

    Data Encryption Workshop

    Cloud Eye

    Cloud Trace Service

    Web Application Firewall

    Anti-DDoS

Solution Architectures

Description

Huawei offers a wide range of cloud services, including an IoT platform and big data, security, management, and application services. These services accelerate IoT-based innovation for a variety of industries.

Highlights

  • One-stop cloud service combination
  • IoT scenario–oriented optimization
  • Flexible architecture options
  • Well-developed IoT ecosystem
  • Scenario-based pre-integration solutions
  • Cloud-pipe-device synergy

Coupon Packages of $1600 USD for New Customers

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