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By rising usage of Ultra-Reliable Low Latency Applications (URLLA) in 5G/6G networks and the Internet of Things, such as autonomous vehicles and industrial automation, reliability and latency become even more crucial in a network function virtualization environment. Improving both reliability and latency at the same time is very challenging, since increasing reliability may result in a rise in latency and limited physical network resources make it even more challenging. In this paper, we provide a novel and efficient Service Function Chain (SFC) embedding algorithm that aims to enhance reliability and latency of URLLA simultaneously. We use flow prioritization and propose an adjustable priority coefficient factor () to reserve a certain amount of physical network resources (CPU, memory, bandwidth) exclusively for embedding high priority traffic flows. We formulate the SFC embedding problem as an integer linear …