Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Abstract-- Packet sampling is commonly deployed in highspeed backbone routers to minimize resources used for network monitoring. It is known that packet sampling distorts traffic s...
Jianning Mai, Ashwin Sridharan, Chen-Nee Chuah, Hu...
This paper explores timing anomalies in WCET analysis. Timing anomalies add to the complexity of WCET analysis and make it hard to apply divide-and-conquer strategies to simplify ...
Raimund Kirner, Albrecht Kadlec, Peter P. Puschner
The current Internet servers are susceptible to network attacks. The DDoS attacks consume the network bandwidth and degrade the services provided by the servers. This paper propos...