Abstract
There is little resource management and Quality of Service (QoS) guarantee in the “best-effort” model underlying existing information systems, leaving information systems vulnerable to exploits and denial-of-service attacks. To overcome these problems, an engineering approach to QoS-centric stateful resource management in information systems is presented in this paper. System engineering principles are first used to identify various scales and levels of resources in information systems. QoS attributes of resources are then discussed. We also introduce the topological and algebraic structures of propagating QoS attributes across levels and scales of various resources for service contracting and admission control. We use a control-theoretic structure to specify QoS-guarantee functions for managing individual resources, including functions of admission control, scheduling & control, QoS conformance monitoring, and state probing and testing, along with scheduling techniques and statistical process control (SPC) techniques to support these functions.
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References
Anderson DJ, Mathews R. Algebraic and topological structure of QoS within large scale distributed information systems. Final Report under AFRL contract number: F30602-98-C-0035, 1998.
Aurrecoechea CA, Hauw L. A review of QoS architectures. In: Proceedings of the 4th IFIP International Workshop on Quality of Service, 1996.
Barnes BH. Computer security research:ABritish perspective. IEEE Software 1998;15(5):30–33.
Bollinger JG, Duffie NA. Computer Control of Machines and Processes. Reading, Massachusetts: Addison-Wesley, 1989.
Boulanger A. Catapults and grappling hooks: The tools and techniques of information warfare. IBM Systems Journal 1998;37(1):106–114.
Chatterjee SJ, Sydir BS, Davis M, Lawrence TF. Modeling applications for adaptive QoS-based resource management. In: Proceedings of the IEEE High Assurance Systems Engineering Workshop, 1997.
Foster I, Kesselman C. The Grid: Blueprint for a New Computing Infrastructure. San Francisco, California: Morgan Kaufmann Publishers, 1999.
Garfinkel S, Spafford G. Practical UNIX & Internet Security. Cambridge: O'Reilly & Associates, 1996.
Giroux N, Ganti S. Quality of Service in ATM Networks. Upper Saddle River NJ: Prentice Hall, 1999.
Godwin M. Net to worry. Communications of the ACM 1999;42(12): 15–17.
Jajodia S, Ammann P, McCollum CD. Surviving informationwarfare attacks. Computer 1999;32(4):57–63.
Kaufman C, Perlman R, Speciner M. Network Security: Private Communication in a Public World. Englewood Cliffs, New Jersey: Prentice Hall, 1995.
Lawrence TF. The quality of service model and high assurance. In: Proceedings of the IEEE High Assurance Systems Engineering Workshop, 1997.
Mann P. Pentagon confronts mounting cyber risks. Aviation Week and Space Technology 1999;150(12):82, 83.
Montgomery DC. Introduction to Statistical Quality Control. New York, NY: John Wiley & Sons, 1991.
Neumann PG. Risks of insiders. Communications of the ACM 1999;42(12):160.
Ogunnaike BA, Ray WH. Process Dynamics, Modeling and Control. New York: Oxford University Press, 1994.
Pandey R, Hashii B, Lal M. Secure execution of mobile programs. In: Proceedings of the DARPA Information Survivability Conference and Exposition, 2000:362–376.
Rasmussen J. Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering. New York, NY: North Holland, 1986.
Sabata B, Chatterjee S, Davis M, Sydir J, Lawrence TF. Taxonomy for QoS specification. In: Proceedings of the IEEE Computer Society 3rd InternationalWorkshop on Object-Oriented Real-Time Dependable Systems, 1997.
Simons B. Building big brother. Communications of the ACM 2000;43(1):31, 32.
Smith SB. Computer Based Production and Inventory Control. Englewood Cliffs, NJ: Prentice Hall, 1989.
Stallings W. Network and Inter-network Security Principles and Practice. Englewood Cliffs, NJ: Prentice Hall, 1995.
Ye N. The presentation of knowledge and state information for system fault diagnosis. IEEE Transactions on Reliability 1996a;45(4):638–645.
Ye N. A hierarchy of system-oriented knowledge for diagnosis of manufacturing system faults. Information and System Engineering 1996b;2(2):79–103.
Ye N, Chen Q, Emran SM. Hotelling's T2 multivariate profiling for anomaly detection. In: Proceedings of the IEEE SMC Information Assurance and Security Workshop, West Point, New York, June 2000a.
Ye N, Chen Q, Emran SM. Chi-squared statistical profiling for anomaly detection. In: Proceedings of the IEEE SMC Information Assurance and Security Workshop, West Point, New York, 2000b.
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Ye, N. QoS-Centric Stateful Resource Management in Information Systems. Information Systems Frontiers 4, 149–160 (2002). https://doi.org/10.1023/A:1016046702190
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DOI: https://doi.org/10.1023/A:1016046702190