| Carl Friedrich Gauß Faculty | Department of Computer Science

Modeling Proactive Monitoring and Control with OPNET Modeler

Student(anonymous, Login required)
SupervisorXiaoyuan Gu
ProfessorProf. Dr.-Ing. Lars Wolf
IBR GroupCM (Prof. Wolf)

Motivation: Autonomic Communications(AutoComm) is gaining momentum and undergoing intensive research worldwide. By definition, AutoComm represents the study of the inter-relationship between networks or network elements and their situations from a cross-disciplinary perspective and a methodology of using context-awareness and distributed proactive policy-based control to achieve efficiency, resilience, immunity and evolvability in large-scale heterogeneous communication infrastructure. A key aspect of AutoComm is network control plane that features autonomy and proactivity. This calls for novel approach for modeling of monitoring and control.

Hazard Analysis and Critical Control Point (HACCP) is a systematic method of identifying, evaluating and controlling food safety hazards. Over the years, it has gone beyond this scope, and has been recognized worldwide as an effective system of control. A HACCP system is a preventive system of hazard control rather than a reactive one, which is designed to predict and avoid the occurrence of potential food safety problems. This is achieved by assessing the inherent hazards attributable to a product or a process, determining the necessary steps that will control the identified hazards, and implementing active managerial control practices to ensure that the hazards are eliminated or minimized. To a large extent, HACCP offers valuable inputs on how proactive monitoring and control can be achieved.

Tasks: In this project, the student will design a monitoring and control system with inspirations from HACCP, and with the help of OPNET Modeler. This is done through first to have a good understanding of the principals of AutoComm and HACCP, and to study the simulation workflow in OPNET Modeler. A focus of the work will be on the QoS parameter optimization. Analysis of hazards to system performance, and the critical control points for the monitoring and control are at the core of this work. Based on these, performance evaluation of protocol stack with such proactive approach will be compared with that of the conventional stack, to validate the gain of monitoring and control with the novel design.

Prerequisite: Good knowledge of computer networks, and programming skills in C/C++

  • OPNET Moderler:OPNET Modeler
  • R. Murch: Autonomic Computing, Upper Saddle River, New Jersey, Prentice Hall, March 2004 (AutoComp, BibTeX, ISBN:013144025X)
  • J. Kephart and D. Chess: The Vision of Autonomic Computing, in IEEE Computer, Vol. 36, No. 1, pages 41-50, January 2003 (KC03, BibTeX)
  • M. Smirnov: Autonomic Communication: Research Agenda for a New Communication Paradigm, in Fraunhofer FOKUS White Paper, November 2004 (MS04, BibTeX)
  • X. Gu, X. Fu, H. Tschofenig and L. Wolf: Towards Self-Optimizing Protocol Stack for Autonomic Communications: Initial Experience, in I. Stavrakakis and M. Smirnov (Eds.), Proceedings of the 2nd IFIP International Workshop on Autonomic Communication (WAC'05), Springer Lecture Notes in Computer Science Vol. 3854 (LNCS), Athens, Greece, pages 186-201, October 2005 (GFTW05, BibTeX)
  • X. Gu and L. Wolf: To Layer or Not To Layer: Architectural Considerations on Autonomic Communications, in International Journal of Internet Protocol Technology (IJIPT), Inderscience Publishers, Vol. 2, No. 1, pages 66-76, January 2007 (GWIJIPT05, BibTeX)

last changed 2007-04-16, 23:05 by Xiaoyuan Gu