The AEWIN Tech Blog shares technical insights, design perspectives, and engineering know-how across networking security, AI computing, and advanced cooling technologies.
Through in-depth articles and practical analysis, our experts explore emerging trends, system architecture, and real-world challenges shaping the future of intelligent infrastructure.
At the very beginning of the development of firewall, it meets the requirement of early-stage network isolation by implementing access control and filtering. With the integration of TCP/UDP inspection, traditional firewall works at layer 2 to layer 4. To consolidate several appliances into one, UTM provides multiple security functions including firewall, IPS, anti-virus, VPN, load balancing, etc.
AI has been changing our world with a vast number of new applications in manufacturing and transportation. Its power can also be leveraged to healthcare and life sciences. Together with the advantage of edge computing that massive amount of data is processed and analyzed at where it is generated and collected, Edge AI enables real-time decision-making/actions for medical clinical and research teams to embrace more possibilities.
With everything connected to the high-speed network, we not only achieve real-time processing for diverse applications at edge, but also complete prompt response directly executed by intelligent machines. As the fundamental of AIoT and Edge AI, the higher speed internet is benefited from 5G and Wi-Fi 6. We have been talking about 5G in our previous Tech Blogs and we will have a closer look at Wi-Fi 6 here.
The demands of edge computing come from that the computing required to be closer to the location generating the data/information to have better efficiency and faster speed. Back in 2015, the following image was displayed in a white paper of Multi-access Edge Computing published by ETSI. It shows that there are demands of MEC server at the edge cloud of mobile communication ecosystem.
The wide area network (WAN) has always posed significant challenges for organization with distributed workforces. When organization expands their operation, it can be challenging for IT teams to efficiently deploy edge gear to connect users to business applications. The need for fast and reliable application performance and the complexity of day-to-day task such as configuration, monitoring, and management are now more important than ever.
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