PD ISO/IEC TR 30164:2020 Internet of Things (IoT). Edge Computing

Welcome to the future of technology with the PD ISO/IEC TR 30164:2020 standard, a comprehensive guide to understanding and implementing Edge Computing within the Internet of Things (IoT) ecosystem. Released on May 26, 2020, this standard is a pivotal resource for professionals and organizations looking to harness the power of IoT and Edge Computing to drive innovation and efficiency.

Overview

The PD ISO/IEC TR 30164:2020 standard is a crucial document that provides insights into the integration of Edge Computing with IoT. As the digital landscape evolves, the need for real-time data processing and analysis at the edge of the network becomes increasingly important. This standard offers a detailed framework for implementing Edge Computing solutions, ensuring that data is processed closer to the source, reducing latency, and enhancing the overall performance of IoT systems.

Key Features

• Standard Number: PD ISO/IEC TR 30164:2020
• Pages: 48
• Release Date: May 26, 2020
• ISBN: 978 0 539 13672 2
• Status: Standard

Why Edge Computing?

Edge Computing is revolutionizing the way data is handled, processed, and delivered from millions of devices worldwide. By processing data at the edge of the network, closer to where it is generated, organizations can achieve faster response times and improved bandwidth efficiency. This is particularly beneficial for IoT applications, where real-time data processing is critical.

Benefits of Edge Computing in IoT

Edge Computing offers numerous advantages for IoT systems, including:

• Reduced Latency: By processing data locally, Edge Computing minimizes the time it takes for data to travel across the network, resulting in faster decision-making and response times.
• Improved Security: With data processed closer to its source, there is less risk of interception or tampering during transmission, enhancing the security of sensitive information.
• Cost Efficiency: Reducing the need to send large volumes of data to centralized data centers can significantly lower bandwidth costs and reduce the load on network infrastructure.
• Scalability: Edge Computing allows for the seamless scaling of IoT applications, as processing power can be distributed across multiple edge devices.

Applications of Edge Computing in IoT

The integration of Edge Computing with IoT opens up a world of possibilities across various industries. Some of the key applications include:

• Smart Cities: Edge Computing enables real-time data processing for smart city applications, such as traffic management, energy distribution, and public safety systems.
• Industrial IoT: In manufacturing and industrial settings, Edge Computing facilitates predictive maintenance, quality control, and efficient resource management.
• Healthcare: Edge Computing supports remote patient monitoring and telemedicine by processing health data locally, ensuring timely and accurate medical interventions.
• Retail: Retailers can leverage Edge Computing for personalized customer experiences, inventory management, and supply chain optimization.

Conclusion

The PD ISO/IEC TR 30164:2020 standard is an essential resource for anyone involved in the IoT and Edge Computing sectors. By providing a comprehensive framework for the implementation of Edge Computing, this standard empowers organizations to enhance their IoT systems, improve efficiency, and drive innovation. Whether you are a technology professional, a business leader, or an academic researcher, this standard offers valuable insights and guidance to help you navigate the rapidly evolving world of IoT and Edge Computing.

Embrace the future of technology with the PD ISO/IEC TR 30164:2020 standard and unlock the full potential of IoT and Edge Computing in your organization.

PD ISO/IEC TR 30164:2020

This standard PD ISO/IEC TR 30164:2020 Internet of things (IoT). Edge computing is classified in these ICS categories:

• 35.020 Information technology (IT) in general

This document describes the common concepts, terminologies, characteristics, use cases and technologies (including data management, coordination, processing, network functionality, heterogeneous computing, security, hardware/software optimization) of edge computing for IoT systems applications. This document is also meant to assist in the identification of potential areas for standardization in edge computing for IoT.