Industrial machine vision is rapidly adopting cost-effective 25-100 GbE network interfaces, which enable multi-megapixel cameras to generate frames of tens of megabytes at high frame rates with no tolerance for loss. However, the de facto GigE Vision (GEV) standard was developed in the 1 GbE era based on UDP sockets, and its capacity to scale has been the subject of ongoing debate. Although RDMA techniques like RoCEv2 and TCP as an intermediate solution have been suggested by vendors and standardization bodies for long-term adoption, a methodical, application-centric evaluation has been lacking.

Web traffic censorship limits the free access to information, making it a global human rights issue. The introduction of HTTP/3 (HTTP over QUIC) yields promising expectations to counteract such interference, due to its novelty, build-in encryption, and faster connection establishment. To evaluate this hypothesis and analyze the current state of HTTP/3 blocking, we extended the open-source censorship measurement-tool OONI with an HTTP/3 module. Using an input list of possibly-blocked websites, real-world measurements with HTTPS and HTTP/3 were conducted in selected Autonomous Systems in China, Iran, India, and Kazakhstan. The presented evaluation assesses the different blocking methodologies employed for TCP/TLS versus the ones employed for QUIC. The results reveal dedicated UDP blocking in Iran and major IP blocklisting affecting QUIC in China and India.