A Cost-effective High-throughput Testbed for Supporting AI-enabled DevSecOps Services
Ulugbek Khamdamov, Muhammad Usman, JongWon Kim · 2023
OF@TEIN Playground is a multi-site cloud with distributed edge nodes, which, while offering reduced application latency by processing data at the edge of the network, also introduces new security challenges. To ensure the continuous and secure operation of these nodes, the SmartX Multi-View Visibility and SmartX MultiSec frameworks were introduced. However, these frameworks have limitations regarding AI-powered security mechanisms. The recent surge in data and AI technologies has amplified the need for AI-based and data-driven smart services that can process large amounts of real-time data and provide actionable insights to users. In particular, AI-inspired DevSecOps services can be highly effective in enhancing cybersecurity of the OF@TEIN Playground. However, developing and deploying these services at scale can be a challenge, due to the high costs associated with procuring and maintaining the necessary hardware and software resources. Therefore, this work aims to upgrade the OF@TEIN Playground to flexibly support cloud based AI-inspired DevSecOps services and to adequately meet the current and future demands of playground users. The results show that our effort has resulted in a more reliable, cost-effective, and flexible edge computing research and experimentation testbed.