Models of Quality of Service and Quality of Information Assurance Towards Their Dynamic Adaptation

Abstract : This report documents the details of the technical work accomplished by Arizona State University on defining Quality of Service (QoS) and Quality of Information Assurance (QoIA) models/metrics to enable intelligent QoS and QoIA trade-offs. ASU's task was to: (1) Establish QoS models/metrics and (2) Define and establish QoIA models/metrics. This report describes all of the research accomplished, information gained, techniques and procedures used in the research process applied during the performance of this project. It includes pertinent observations, discussion of problems encountered, positive and negative results, test case scenario design, and the results of the testing.

[1]  Wei Wang,et al.  A Survivability Quantitative Analysis Model for Network System Based on Attack Graph , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[2]  Zhuoqun Sun,et al.  Voice quality prediction models and their application in VoIP networks , 2006, IEEE Transactions on Multimedia.

[3]  Yan Chen,et al.  QoS Requirements of Network Applications on the Internet , 2004, Inf. Knowl. Syst. Manag..

[4]  Yanchun Zhang,et al.  Survivability of Information System , 2005, 2005 5th International Conference on Information Communications & Signal Processing.

[5]  Lionel M. Ni,et al.  A practical approach for providing QoS in the Internet backbone , 2002 .

[6]  Shijie Xu,et al.  Service Selection Model Based on QoS Reference Vector , 2007, 2007 IEEE Congress on Services (Services 2007).

[7]  Kai-Yuan Cai,et al.  A Software Cybernetics Approach to Deploying and Scheduling , 2007, 11th IEEE International Workshop on Future Trends of Distributed Computing Systems (FTDCS'07).

[8]  Vincent Rijmen,et al.  The Design of Rijndael: AES - The Advanced Encryption Standard , 2002 .

[9]  Zhang Guoping,et al.  A QoS-Based Web Services Selection Method for Dynamic Web Service Composition , 2009, 2009 First International Workshop on Education Technology and Computer Science.

[10]  Raymond A. Paul,et al.  Rule-base technique for component adaptation to support QoS-based reconfiguration , 2005, Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05).

[11]  Hidekazu Tsuji,et al.  A new QoS ontology and its QoS-based ranking algorithm for Web services , 2009, Simul. Model. Pract. Theory.

[12]  Nong Ye Secure Computer and Network Systems: Modeling, Analysis and Design , 2008 .

[13]  H. B. Mann,et al.  On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[14]  Yanjun Zuo,et al.  Unifying strategies and tactics: A survivability framework for countering cyber attacks , 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.

[15]  Kai-Yuan Cai,et al.  An Intelligent Control Architecture for Adaptive Service-Based Software Systems with Workflow Patterns , 2008, 2008 32nd Annual IEEE International Computer Software and Applications Conference.

[16]  Keith W. Ross,et al.  A framework for guaranteeing statistical QoS , 2002, TNET.

[17]  Tao Lv,et al.  Research on Workflow QoS , 2009, 2009 International Joint Conference on Artificial Intelligence.

[18]  David A. Fisher,et al.  Survivability—a new technical and business perspective on security , 1999, NSPW '99.

[19]  Jerome H. Friedman Multivariate adaptive regression splines (with discussion) , 1991 .

[20]  Nong Ye,et al.  A System-Fault-Risk Framework for cyber attack classification , 2006, Inf. Knowl. Syst. Manag..

[21]  Nong Ye,et al.  QoS Model of a Router with Feedback Control , 2006, Qual. Reliab. Eng. Int..

[22]  Nong Ye,et al.  QoS-Centric Stateful Resource Management in Information Systems , 2002, Inf. Syst. Frontiers.