Edge Computing

ZedIoT uses edge computing and data analytics to process and analyze IoT device data at the network edge. Our experts design and implement customized edge computing solutions to optimize IoT data processing and derive valuable insights.

How Edge Computing Works

Enhancing Real-time Responsiveness

Our edge computing solutions enable fast data analysis and real-time decision-making, minimizing latency and ensuring immediate response.

Reducing data transmission to the cloud to alleviate bandwidth limitations

Enhanced data security and privacy protection

Real-time data processing and analysis for immediate insights

Increased system reliability and flexibility

Edge Computing
dege computing

Benifits of Edge Computing

Reduced Latency

Tasks are executed at the origin, accelerating processing timelines.

Greater Autonomy

Edge applications execute authorized actions, fueling business processes.

Enhanced securlty

Locally accessing, storing, and protecting data reduces the risk of cyberattacks.

Scalabllity

Edge computing scales with micro data centers, simplifying deployment for organizations.

Regulatory Compllance

Local data handling meets privacy needs everywhere served.

Cost Savings

Reduces some costs but may raise energy expenses without proper management.

Interoperabllity

Edge sites process M2M data for IoT and connect with legacy applications.

Greater Rellabllity

Enhances BC/DR by providing on-site processing and workload distribution.

5G & Edge Computing

5G, coupled with edge computing, offers organizations fast processing and low latency for data-intensive applications. As 5G gradually reaches its potential, edge computing acts as the "last mile," maintaining low latency (10 to 50 milliseconds). This synergy enables organizations to capture, process, and leverage various data types, driving business value through automation, advanced analytics, and tailored digital experiences. The importance of edge computing is set to grow significantly in the coming years.

Technical Highlights

Edge Computing Frameworks

Use industry-leading frameworks such as AWS IoT Greengrass and Azure IoT Edge to build powerful and scalable solutions.

Data Processing Engines

Optimizing our data processing pipelines with Apache Spark and Kafka to handle massive amounts of IoT data.

Machine Learning Ability

Leveraging advanced machine learning libraries like TensorFlow and PyTorch for predictive analytics.

Data Analysis & Visualization

Utilizing tools such as Grafana and Kibana for intuitive data visualization and interactive dashboards .

Device Management Platforms

Seamless integration with leading IoT platforms for device connectivity, management, and control.

For more information, please contact us

Service Features

ZedIoT specializes in the following core service features in edge computing and IoT data analytics

Efficient Data Preprocessing

Application of Complex Algorithms and Models

Customizable Data Visualization & Reporting

Rapid Response and Seamless Integration

Security and Privacy Protection

Flexible Scalability

We are committed to delivering exceptional solutions and providing professional support to help businesses fully leverage the potential of edge computing and IoT data analytics, driving business growth and success.

Case Study

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Intelligent Cabinet Data Center Power Environment and Energy Consumption Monitoring System
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Industrial IoT Application System for Manufacturing Factories
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Connected Vehicle Intelligent Cloud Control Platform

Contact us and our experts will get back to you with professional edge computing and IoT data analytics suggestions.