Assessment of QoS adaptation and cyber-defense mechanisms in networked systems

• Published in: 2017 IEEE Conference on Dependable and Secure Computing pp. 501 - 508
• Main Authors: Ravindran, K., Wardei, Y., Kodia, A., Iannelli, M., Adiththan, A., Drager, Steven
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2017
• Subjects: Adaptation models; Approximation algorithms; Automobiles; Benchmark testing; Cruise control; Quality of service
• DOI: 10.1109/DESEC.2017.8073833

The paper describes methods to evaluate the QoS capability of a networked system S operating under hostile environment conditions. We evaluate the run-time compliance of system S with the QoS prescription of applications in terms of non-functional attributes that capture the QoS behavior of S (e.g., transaction latency & drop rate in an on-line web service). We benchmark the QoS capability of S by exercising stress-tests on a simulation model of S with artificially injected environment conditions. Our model-based system assessment methods are anchored on PO-MDP frameworks that are currently advocated for network reliability and performance analysis. As case study, we describe the assessment of a CDN (content distribution network) vis-a-vis the content read latency and overhead experienced by clients. Our CDN assessment employs models of the internal algorithmic processes that strive to optimally place the content caching nodes in a distribution topology.