With the arrival of the 5G era, various emerging applications are continuously emerging. While these applications bring a large amount of data to be processed, they also impose high demands on the timeliness of data processing, requiring processing speeds to reach “millisecond levels,” which poses a significant challenge to the computing power of traditional cloud platforms. Against this backdrop, edge computing has emerged. What is Edge Computing? IoT devices need to connect to the internet to receive information from the cloud or to send data back to the cloud. The exponentially growing number of IoT devices generates a large amount of data during their operation, leading to the development of edge computing. Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located near the edge—where things and people generate or use that information.” Essentially, edge computing brings computation and data storage closer to the devices that collect it, rather than relying on central processors that may be thousands of miles away. This is done to prevent delays from affecting application performance. Thus, the core advantage of edge computing is its ability to process and store data more quickly. For example, before edge computing, when a smartphone performed facial recognition, it needed to upload the collected facial information to a cloud server for processing, which took a lot of time. Edge computing can run on edge servers, gateways, or even on the smartphone itself, significantly reducing device response times. By applying edge computing to process data locally, the amount of data that needs to be processed at centralized or cloud-based locations is reduced, saving a significant amount of money. As the advantages of edge computing become apparent and IoT applications unfold, edge computing will continue to develop further, and security and collaborative development deserve attention. Privacy and Security Cannot Be Ignored With the gradual application of edge computing, security and privacy issues have become particularly important. At the end of November, ECC and AII jointly released a research report on edge security—”Edge Computing Security White Paper.” The report points out that edge security involves a security protection system that spans both cloud computing and edge computing, requiring enhanced capabilities for edge infrastructure, networks, applications, data identification, and resistance to various security threats. As the number of IoT devices increases exponentially, understanding the potential security issues surrounding these devices and ensuring system security becomes crucial, including ensuring that data is encrypted and that the correct access control methods and even VPN tunnels are used. Today, edge security is becoming a guarantee for the accelerated implementation of edge computing and is one of the core directions that the edge computing industry needs to break through. Additionally, the different requirements for processing power, power supply, and network connectivity among different devices may also affect the reliability of edge devices. This necessitates that relevant personnel manage redundancy and failover to ensure data delivery and processing in the event of a single node failure. Integrated Development Requires Accelerated “Edge-Cloud” Collaborative Construction As a new type of solution, edge computing has obvious advantages and is welcomed by many. However, its core focus is on the “small data” computing challenges close to users in IoT scenarios, and it cannot replace cloud computing. Currently, many enterprises are beginning to build “edge-cloud” collaborative models and systems to collaboratively solve the computational challenges arising from big data development. Edge-cloud collaboration starts from the information integration function from the edge layer to the cloud, focusing on smart cities and smart park markets, building IoT edge-cloud computing platforms, iterating and upgrading based on user needs and technological trends in edge computing scenarios, and providing efficient, stable, and secure computing power support for ubiquitous computing through orchestration and resource management, ultimately achieving data collaboration, control collaboration, and management collaboration between the edge and the cloud. In the future, with the gradual popularization of broadband, low latency, and massive access of 5G technology and the accelerated implementation of IoT edge computing platforms, the “edge-cloud collaboration” model will be popularized in more application scenarios.