QUADIS Quality Assurance and Differentiation of Internet Services


Internet services have a characteristic of bursty traffic. To deal with the burstiness and protect valuable customers from traffic surge, a stress-resilient server must be able to control the quality of different classes of requests in a coordinated way so as to guarantee a fair and graceful performance degradation in stress conditions. Such quality assurance and differentiation technologies can also protect the server from distributed denial-of-service attacks by downgrading the service quality of the requests with suspicious intentions. The goal of QUADIS project is to develop an application-level multi-resource management mechanism and coordinated admission/resource allocaiton and space/time request scheduling strategies for stress-resilience and high service availability in web servers [1].

Research has been carried out in the following aspects:


People
Publications
  1. C. Xu, Scalable and Secure Internet Services and Architecture, Chapman & Hall/CRC, June 2005, ISBN 1-5848-8377-4 (pp395+xvii)
  2. X. Zhou and C. Xu, "Harmonic bandwidth allocation for service differentiation on streaming servers,” IEEE Transaction on Parallel and Distributed Computing, Vol.15 (9):835-848, Sept. 2004.
  3. J. Wei, X. Zhou and C. Xu, “Robust processing rate allocation for proportional slowdown differentiation on Internet servers,” IEEE Transactions on Computers, Vol.54 (8):964-977, August 2005.
  4. X. Zhou, J. Wei, and C. Xu, "Resource allocation for session-based 2D service differentiation on e-commerce servers,” IEEE Transactions on Parallel and Distributed Systems, Vol.17 (8):838-850, August 2006.
  5. C. Xu, J. Wei and B. Liu, “Model predictive feedback control for end-to-end QoS guarantees in Web servers”, IEEE Computers (to appear)
  6. J. Wei and C. Xu, “eQoS: Provisioning of client-perceived end-to-end QoS guarantees in Web servers,” IEEE Transactions on Computers. Vol. 55(12):1543-1556, December 2006.
  7. J. Wei and C. Xu, “sMonitor: A non-intrusive client-perceived end-to-end performance monitor of secured Internet services,” in Proc. of USENIX Annual Technical Conf. Boston, June 2006.