A Fuzzy Logic Based Proactive Maintenance scheduling on Communication Networks
Keywords:
Fuzzy logic, Lightweight agents, Network health monitor, , Data analyzer, communication networks, MaintenanceAbstract
This paper presents a fuzzy logic methodology for scheduling predictive maintenance on communication networks. Lightweight agents were used to monitor and collect network elements status information at intervals of time which indicated the condition of each component, and the overall health of the network element. Data analyzer used to process status information of each component data was model with fuzzy logic Toolbox in MATLAB®. The results of the data analysis were used to determine the health condition of the network element. A prototype of the system was implemented in a simple case scenario but we expect the system to perform efficiently in a larger complex network. The result of the simple case scenario is presented.
References
Arunachalam M. and Rajamani V. (2011): Distributed Fault Detection and Localization Algorithm using Artificial Neural Network in Optical WDM Networks. European Journal of Scientific Research 56 (2): 194-203.
Chunxiao Chigan, Gary W. Atkinson, and Ramesh Nagarajan (2003): Cost Effectiveness of Joint Multilayer Protection in Packet-Over-Optical Networks. Journal of Lightwave Technology, 21(11): 2694-2704.
Dechter R. (1996): Bucket Elimination: A Unifying Framework for Probabilistic Inference. In Uncertainty in Artificial Intelligence, E. Horvitz and F.V. Jensen Eds., San Mateo, C.A.: Morgan Kaufmann, pp. 211-219
Dennis H. Shreve (2003): Integrated Condition Monitoring Technologies A Technical Report at IRD® Balancing LLC.
Feng Nan and Li Minqiang(2011): An information systems security risk assessment model under uncertain environment. Applied Soft Computing, 11(7): 4332-4340.
Fernández Gómez J. F. and Crespo Márquez, A. (2012): Maintenance Management in Network Utilities, Springer Series in Reliability Engineering, Springer-Verlag London.
Hellerstein J. Zhang F., Shahabuddin P., (2001): A Statistical approach to predictive detection . Computer networks. Internal Journal Of Computer and Telecomminucations Networking pg. 77-95.
Hongjun and Baras, (2001): A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks. In: Proceedings of IFIP/IEEE International Conference on Management of Multimedia Networks and Services (MMNS 2001) pp. 227-240.
Gary Warren, Notle Ronald, Funk Ken, and Merrell Brain (2004): Network simulation enhancing network management in real-time. ACM Transactions on Modeling and Computer Simulation, 14(2): 196-210.
Harvey m. Wagner, Richard j. Giglio, and R. George Glaser (1964): Preventive Maintenance Scheduling by Mathematical Programming. Management Science 10(2 ):316-334.
Hooshmand, R., & Banejad, M. (2006): Application of fuzzy logic in fault diagnosis in transformers using dissolved gas based on different standards. In: Proceedings of World academy of science, engineering and technology Vol. 17, pp. 151–161.
Ibrahiem and Adanan(2005): Fault Detection of Computer Communications Networks Using an Expert System - American Journal of Applied Sciences, 2 (10): 1407-1411.
Infonetics. (2006): The Costs of Enterprise Downtime: North American Vertical Markets available at http://www.optrics.com/emprisa_networks/2006_UPNA05_DWN ToC_Ex cerpts.pdf [15th, March 2007].
Ing-Jiunn Su, Chia-Chih Tsai, and Wen-Tsai Sung (2012): Area temperature system monitoring and computing based on adaptive fuzzy logic in wireless sensor Network. Applied Soft Computing, 12(5): 1532-1541.
Ismail A. R., Ismail R., Zulkifli R., N. K. Makhtar and B. M. Deros (2009): A Study on Implementation of Preventive Maintenance Programme at Malaysia Palm Oil Mill. European Journal of Scientific Research 29(1): 126-135.
Jacob Jackson (2009): The high cost of failure on the network. Available at http://gcn.com/articles/2009/10/26/numerator-cost-of-failure.aspx [15th June 15, 2012].
Kaufimann A. (1995): Introduction to the Theory of Fuzzy Subsets.I : Fundamental Theoretical Elements Academic Press Inc. 1975.
Kodega Okuthe P., Agbinya Johnson I. and Christian W. Omli (2007): A Probabilistic Approach To Faults Prediction in Cellular Networks. Proceedings of the Fifth International Conference on Networking. Pp 130-135.
Kogeda Okuthe P. and Agbinya Johnson I. (2007): Proactive Cellular Network Faults Prediction through Mobile Intelligent Agent Technology. The 2nd International Conference on Wireless Broadband and Ultra Wideband Communications pp 55-60.
Li Y. and Lan Z. (2007): Current Research and Practice in Proactive Fault Management. International Journal of Computer and Applications. 29(4): 408-412.
Lu Yang (2005): Improving Network Maintenance for Higher Quality of Service. China Communication August, 2005 pg 12-13.
Mendel J.M.(1995): Fuzzy Logic for Engineering: A Tutorial Proceedings of the IEEE .83 (3): 345-377.
Odejobi, O. A. (2007). Computational modeling of systems engineering: A case study of the cassava processing plant. Journal of Computer Science & Its Applications,14(2): 1–9.
Ogunjobi A. O. and Ajayi O.A. (2003): Failure Prediction and Reliability Analysis of Equipment using Fuzzy Logic. Nigerian Journal of Mechanical Engineering, 1 (1): 75-84.
Olajubu E. A., Aderounmu G.A. and Adagunodo E. R. (2008): Optimizing Bandwidth usage and Response Time using Lightweight Agents on Data Communication Network. T. Sobh et al. (eds), Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics, (ISBN:978-1-4020-8736-3) Springer Science+Business Media B.V.\Netherlands. pg. 335-340.
Pertet, Soila and Narasimhan, Priya (2005): Causes of Failure in Web Applications. A Technical Report No: CMU-PDL-05-109. Parallel Data Laboratory Carnegie Mellon UNiversity.
Pertet S.and Narasimham P. (2004): Proactive recovery in distributed CORBA applications, Proceedings of International Conference on Dependable systems and Network. Pg. 357-366.
Ramirez K., Alanis A., Castillo O., Arias H., and Melin P (2006): Monitoring and Diagnostics with Intelligent Agents Using Fuzzy Logic. Proceedings of the 2006 Internal Conference on Artificial Intelligence (ICAI 2006) pp. 571-577.
Revathi T., Muneesswaran K. and Ramar K. (2011): Fuzzy enabled congestion control for differentiated services network. Applied Soft Computing, 11(8): 5457-5462.
Soila M. Pertet and Priya Narasimhan (2005): Causes of Failure in web applications. Technical Report PDL-CMU-05-109, Carnegie Mellon University.
Steinder Małgorzata and Sethi Adarshpal S. (2004): A survey of fault localization techniques in computer networks. Science of Computer Programming 53 pg. 165–194.
Steinder M. and Sethic A.S. (2004): Probabilistic Fault Localization in Communication Systems Using Belief-Networks, IEEE/ACM Transactions on Networking, 12(5): 809-821.
Strahonja Vjeran and Saletovic Kristijan (2007): Proactive Approach to the Incident and Problem Management in Communication Networks. Journal of information and organizational sciences, 31(1): 245-259. Valliyammai.C, Thamarai Selvi.S (2011): Mobile Agent Based Automated Deployment Of Resource Monitoring Service In Grid. Ubiquitous Computing and Communication Journal 6(2): 786-790.
Wang, M., & Lui, J. N. K. (2008): Fuzzy logic-based real-time robot navigation in unknown environment with dead ends. Robotics and Autonomous Systems, 56(7), 625–643.
White Christopher J. and Lakay Heba (2008): A fuzzy inference system for fault detection and isolation: Application to a fluid system. Expert systems with Applications 35(3): 1021-1033.
White T., Bieszczad A., and Pagurek B. (1999): "Distributed Fault Location in Networks Using Mobile Agents": In the Proceedings of the Second International Workshop on Intelligent Agents for Telecommunication Application. Paris, France, pp. 130-141.
Yang Liu (2008) Predictive Modeling for Intelligent Maintenance In Complex Semiconductor Manufacturing Processes. A PhD Thesis submitted at Department of Mechanical Engineering, University of Michigan, USA.
ITU/CCIT (2006): Maintenance Philosophy for Telecommunication Networks, ITU/CCITT Recommendation M.20, 1992.
Chunxiao Chigan, Gary W. Atkinson, and Ramesh Nagarajan (2003): Cost Effectiveness of Joint Multilayer Protection in Packet-Over-Optical Networks. Journal of Lightwave Technology, 21(11): 2694-2704.
Dechter R. (1996): Bucket Elimination: A Unifying Framework for Probabilistic Inference. In Uncertainty in Artificial Intelligence, E. Horvitz and F.V. Jensen Eds., San Mateo, C.A.: Morgan Kaufmann, pp. 211-219
Dennis H. Shreve (2003): Integrated Condition Monitoring Technologies A Technical Report at IRD® Balancing LLC.
Feng Nan and Li Minqiang(2011): An information systems security risk assessment model under uncertain environment. Applied Soft Computing, 11(7): 4332-4340.
Fernández Gómez J. F. and Crespo Márquez, A. (2012): Maintenance Management in Network Utilities, Springer Series in Reliability Engineering, Springer-Verlag London.
Hellerstein J. Zhang F., Shahabuddin P., (2001): A Statistical approach to predictive detection . Computer networks. Internal Journal Of Computer and Telecomminucations Networking pg. 77-95.
Hongjun and Baras, (2001): A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks. In: Proceedings of IFIP/IEEE International Conference on Management of Multimedia Networks and Services (MMNS 2001) pp. 227-240.
Gary Warren, Notle Ronald, Funk Ken, and Merrell Brain (2004): Network simulation enhancing network management in real-time. ACM Transactions on Modeling and Computer Simulation, 14(2): 196-210.
Harvey m. Wagner, Richard j. Giglio, and R. George Glaser (1964): Preventive Maintenance Scheduling by Mathematical Programming. Management Science 10(2 ):316-334.
Hooshmand, R., & Banejad, M. (2006): Application of fuzzy logic in fault diagnosis in transformers using dissolved gas based on different standards. In: Proceedings of World academy of science, engineering and technology Vol. 17, pp. 151–161.
Ibrahiem and Adanan(2005): Fault Detection of Computer Communications Networks Using an Expert System - American Journal of Applied Sciences, 2 (10): 1407-1411.
Infonetics. (2006): The Costs of Enterprise Downtime: North American Vertical Markets available at http://www.optrics.com/emprisa_networks/2006_UPNA05_DWN ToC_Ex cerpts.pdf [15th, March 2007].
Ing-Jiunn Su, Chia-Chih Tsai, and Wen-Tsai Sung (2012): Area temperature system monitoring and computing based on adaptive fuzzy logic in wireless sensor Network. Applied Soft Computing, 12(5): 1532-1541.
Ismail A. R., Ismail R., Zulkifli R., N. K. Makhtar and B. M. Deros (2009): A Study on Implementation of Preventive Maintenance Programme at Malaysia Palm Oil Mill. European Journal of Scientific Research 29(1): 126-135.
Jacob Jackson (2009): The high cost of failure on the network. Available at http://gcn.com/articles/2009/10/26/numerator-cost-of-failure.aspx [15th June 15, 2012].
Kaufimann A. (1995): Introduction to the Theory of Fuzzy Subsets.I : Fundamental Theoretical Elements Academic Press Inc. 1975.
Kodega Okuthe P., Agbinya Johnson I. and Christian W. Omli (2007): A Probabilistic Approach To Faults Prediction in Cellular Networks. Proceedings of the Fifth International Conference on Networking. Pp 130-135.
Kogeda Okuthe P. and Agbinya Johnson I. (2007): Proactive Cellular Network Faults Prediction through Mobile Intelligent Agent Technology. The 2nd International Conference on Wireless Broadband and Ultra Wideband Communications pp 55-60.
Li Y. and Lan Z. (2007): Current Research and Practice in Proactive Fault Management. International Journal of Computer and Applications. 29(4): 408-412.
Lu Yang (2005): Improving Network Maintenance for Higher Quality of Service. China Communication August, 2005 pg 12-13.
Mendel J.M.(1995): Fuzzy Logic for Engineering: A Tutorial Proceedings of the IEEE .83 (3): 345-377.
Odejobi, O. A. (2007). Computational modeling of systems engineering: A case study of the cassava processing plant. Journal of Computer Science & Its Applications,14(2): 1–9.
Ogunjobi A. O. and Ajayi O.A. (2003): Failure Prediction and Reliability Analysis of Equipment using Fuzzy Logic. Nigerian Journal of Mechanical Engineering, 1 (1): 75-84.
Olajubu E. A., Aderounmu G.A. and Adagunodo E. R. (2008): Optimizing Bandwidth usage and Response Time using Lightweight Agents on Data Communication Network. T. Sobh et al. (eds), Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics, (ISBN:978-1-4020-8736-3) Springer Science+Business Media B.V.\Netherlands. pg. 335-340.
Pertet, Soila and Narasimhan, Priya (2005): Causes of Failure in Web Applications. A Technical Report No: CMU-PDL-05-109. Parallel Data Laboratory Carnegie Mellon UNiversity.
Pertet S.and Narasimham P. (2004): Proactive recovery in distributed CORBA applications, Proceedings of International Conference on Dependable systems and Network. Pg. 357-366.
Ramirez K., Alanis A., Castillo O., Arias H., and Melin P (2006): Monitoring and Diagnostics with Intelligent Agents Using Fuzzy Logic. Proceedings of the 2006 Internal Conference on Artificial Intelligence (ICAI 2006) pp. 571-577.
Revathi T., Muneesswaran K. and Ramar K. (2011): Fuzzy enabled congestion control for differentiated services network. Applied Soft Computing, 11(8): 5457-5462.
Soila M. Pertet and Priya Narasimhan (2005): Causes of Failure in web applications. Technical Report PDL-CMU-05-109, Carnegie Mellon University.
Steinder Małgorzata and Sethi Adarshpal S. (2004): A survey of fault localization techniques in computer networks. Science of Computer Programming 53 pg. 165–194.
Steinder M. and Sethic A.S. (2004): Probabilistic Fault Localization in Communication Systems Using Belief-Networks, IEEE/ACM Transactions on Networking, 12(5): 809-821.
Strahonja Vjeran and Saletovic Kristijan (2007): Proactive Approach to the Incident and Problem Management in Communication Networks. Journal of information and organizational sciences, 31(1): 245-259. Valliyammai.C, Thamarai Selvi.S (2011): Mobile Agent Based Automated Deployment Of Resource Monitoring Service In Grid. Ubiquitous Computing and Communication Journal 6(2): 786-790.
Wang, M., & Lui, J. N. K. (2008): Fuzzy logic-based real-time robot navigation in unknown environment with dead ends. Robotics and Autonomous Systems, 56(7), 625–643.
White Christopher J. and Lakay Heba (2008): A fuzzy inference system for fault detection and isolation: Application to a fluid system. Expert systems with Applications 35(3): 1021-1033.
White T., Bieszczad A., and Pagurek B. (1999): "Distributed Fault Location in Networks Using Mobile Agents": In the Proceedings of the Second International Workshop on Intelligent Agents for Telecommunication Application. Paris, France, pp. 130-141.
Yang Liu (2008) Predictive Modeling for Intelligent Maintenance In Complex Semiconductor Manufacturing Processes. A PhD Thesis submitted at Department of Mechanical Engineering, University of Michigan, USA.
ITU/CCIT (2006): Maintenance Philosophy for Telecommunication Networks, ITU/CCITT Recommendation M.20, 1992.
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Olajubu, E. (2013). A Fuzzy Logic Based Proactive Maintenance scheduling on Communication Networks. Ife Journal of Technology, 22(1), 31–38. Retrieved from http://ijt.oauife.edu.ng/index.php/ijt/article/view/119
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