탁병철 연구실

This topic covers the security aspect of containers. We try to improve the security strength of container by observing system calls and detecting the attacks. We are also designing better ways to build seccomp policies for containers.

In this topic, we try to quickly find out the root cause of the errors, failures, or anomalies of target applications and fix them. This requires sophisticated data collection and data analytics using state-of-the-art AI techniques.

Log analysis is an important technique for understanding the behavior of modern, increasingly complex distributed systems, diagnosing the problem and finding the root cause of the problems.

We are interested in the performance aspect of distributed systems and distributed applications, specifically for the class of applications we call 'data systems'. Data systems refer to computing systems for supporting data processing/analysis operations.

The goal of this project is to develop a technique that can significantly improve the query execution time for the IoT streaming query. Our approach is to perform both the data sampling and the query execution within the fog so that almost all traffic to the cloud is eliminated.