edge computing

Introduction

Edge computing is an emerging paradigm that extends computational power, storage, and network resources to the edge of the network, closer to end users and devices. This approach aims to address the limitations of traditional cloud computing by providing low latency, high bandwidth, and improved data privacy and security. The proliferation of Internet of Things (IoT) devices and the increasing demand for real-time processing have driven significant interest and research in this field.

Key Insights

Low Latency and High Bandwidth:
- Edge computing reduces latency and improves bandwidth by processing data closer to the source, which is crucial for applications like augmented reality, real-time video analytics, and smart city infrastructure .
Enhanced Privacy and Security:
- By processing data locally, edge computing enhances data privacy and security, addressing concerns related to data transmission over long distances to centralized cloud servers .
Support for IoT and Cyber-Physical Systems (CPS):
- Edge computing is particularly beneficial for IoT and CPS applications, providing real-time processing, autonomy, and improved system trustworthiness, including safety, security, and predictability .
Computation Offloading:
- Edge computing enables computation offloading from resource-constrained devices to nearby edge servers, improving performance and battery life for applications requiring significant computational power .
Integration with Cloud Computing:
- Edge computing often works in conjunction with cloud computing, creating a hybrid model that leverages the strengths of both paradigms for more scalable and efficient services .
Industrial and Business Applications:
- Edge computing is being increasingly adopted in industrial IoT and manufacturing for real-time processing, agility, and autonomous operations, enhancing the efficiency and value of intelligent manufacturing systems .
Security Challenges:
- Despite its advantages, edge computing faces significant security challenges, including distributed denial of service attacks, side-channel attacks, and malware injection, necessitating robust defense mechanisms and ongoing research .

Conclusion

Edge computing represents a transformative shift in how data is processed and managed, offering significant benefits in terms of low latency, high bandwidth, enhanced privacy, and security. It is particularly advantageous for IoT and CPS applications, enabling real-time processing and improved system trustworthiness. While it complements cloud computing, creating a hybrid model, it also faces notable security challenges that require continuous research and development. As the field evolves, edge computing is poised to play a critical role in the future of computing infrastructure, driving advancements across various industries and applications.

Summary

Introduction

Key Insights

Conclusion

Sources and full results

Edge Computing: Vision and Challenges

Edge computing offers potential benefits such as faster response times, battery life, and bandwidth savings, while also addressing concerns about data safety and privacy.

Computation Offloading Toward Edge Computing

Edge computing offers ultra-low latency and high bandwidth for computation offloading, benefiting applications like real-time video analytics, smart "things," and cloud gaming.

Edge computing for cyber-physical systems

Edge computing for cyber-physical systems needs more research on trustworthiness, including safety, security, and predictability, to address challenges like intelligent transportation.

Edge Computing in IoT-Based Manufacturing

Edge computing in IoT-based manufacturing enhances agility, real-time processing, and autonomy, providing value for intelligent manufacturing through enhanced communication, information fusion, and cooperative mechanisms with cloud computing.

A Survey on Edge Computing Systems and Tools

This paper provides a comprehensive overview of edge computing systems and tools, highlighting energy efficiency and deep learning optimization, while highlighting open issues for analyzing and designing edge computing systems.

Edge Computing

Edge computing improves latency, bandwidth, trust, and survivability by placing compute and storage resources close to mobile devices, sensors, and IoT devices.

Edge Computing for the Internet of Things

Edge computing offers improved scalability and local distributed computing for IoT applications, but challenges remain in data distribution, collaboration with cloud computing, and privacy preservation.

Edge computing: A survey

Edge computing provides low latency, mobility, and location awareness for future technologies like 5G, IoT, augmented reality, and vehicle-to-vehicle communications.

Edge-Oriented Computing: A Survey on Research and Use Cases

Edge computing improves efficiency in IoT networks, but challenges remain in server placement, data security, and hybrid edge-cloud computing.

Edge Computing Security: State of the Art and Challenges

This paper identifies four major attacks and defense mechanisms in edge computing, highlighting the need for future research and development in this area.

Try another search