Identifying QoS violations through statistical end-to-end analysis

International Journal of Communication Systems

Volumn 24, Issue 10, 2011, Pages 1388-1406

  Zhou, Lifeng ^a   Chen, Lei ^a   Pung, Hung Keng ^a   Ngoh, Lek Heng ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

end to end architecture; multimedia transmission; orthonormal network; QoS violation detection

Indexed keywords

ADDITIVE FUNCTION; APPLICATION PERFORMANCE; CLASSIFICATION ACCURACY; CONDITION-ACTION RULES; END-TO-END ANALYSIS; END-TO-END ARCHITECTURE; HIDDEN NEURONS; KERNEL FUNCTION; LINK ERRORS; MULTIMEDIA TRANSMISSION; MULTIMEDIA TRANSMISSIONS; NETWORK CONGESTIONS; ORTHONORMAL; PROCESS FAILURE; REAL-TIME TRAINING; ROOT CAUSE; RUNTIMES; STATISTICAL APPROACH; TRAFFIC PATTERN; TRAINING OVERHEAD; UNIVERSAL APPROXIMATION;

APPROXIMATION ALGORITHMS; EXPERIMENTS; MULTIMEDIA SYSTEMS;

QUALITY OF SERVICE;

EID: 80053342638     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.1273     Document Type: Article

References (33)

1. Combaz L, Fernandez J-C, Sifakis J, Strus L, Symbolic quality control for multimedia applications. Real-time Systems 2008; 40: 1-43.
2. Cormode G, Muthukrishnan S, What's new: finding significant differences in network data streams. IEEE/ACM Transactions on Networking 2005; 13: 1219-1232. (Pubitemid 43034131)
3. Abeni L, Cucinotta T, Lipari G, Marzario L, Palopoli L, QoS management through adaptive reservations. Real-time Systems 2005; 29: 131-155. (Pubitemid 41201639)
4. Al-Ta'ani A, Begall C, Waadt A, Trouble shooting in distributed service centers. Proceedings of ICNS International Conference on Networking and Services, 2007.
5. Barrera I, Bohacek S, Arce G, Statistical detection of congestion in routers. IEEE Transactions on Signal Processing 2010; 58: 957-968.
6. Paola AD, Fiduccia S, Gaglio S, Gatani L, Re GL, Pizzitola A, Ortolani M, Storniolo P, Urso A, Rule-based reasoning for network management. Proceedings of International Workshop on Computer Architecture for Machine Perception, 2005.
7. Huang Y, Feamster N, Lakhina A, Xu JJ, Diagnosing network disruptions with network-wide analysis. Proceedings of ACM SIGMETRICS, June 2007.
8. Li B, Nahrstedt K, QualProbes: middleware QoS profiling services for configuring adaptive applications. Proceedings of IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing, April 2000.
9. Bharghavan V, Lee K-W, Lu S, Ha S, Li J-R, Dwyer D, The TIMELY adaptive resource management architecture. IEEE Personal Communications 1998; 5 (4): 20-31. (Pubitemid 128576225)
10. Gmach D, Krompass S, Scholz A, Wimmer M, Kemper A, Adaptive quality of service management for enterprise services. ACM Transactions on the Web 2008; 2 (1).
11. Molenkamp G, Katchabaw M, Lutfiyya H, Bauer MA, Managing soft QoS requirements in distributed systems. Proceedings of International Workshops on Parallel Processing, 2000.
12. Ghafoor A, Distributed multimedia information systems: an end-to-end perspective. Multimedia Tools and Applications 2007; 33: 31-56. (Pubitemid 46425437)
13. Mahajan M, Parashar M, Managing QoS for multimedia applications in a differentiated services environment. Proceedings of Annual International Workshop on Active Middleware Services, 2002.
14. Hafid A, Bochmann GV, Quality-of-service adaptation in distributed multimedia applications. Multimedia Systems 1998; 6: 299-315.
15. Bahati RM, Bauer MA, Vieira EM, Policy-driven autonomic management of multi-component systems. Proceedings of Conference of the Center for Advanced Studies on Collaborative Research, 2007.
16. Iyer R, Zhao L, Guo F, et al., QoS policies and architecture for cache/memory in CMP platforms. Proceedings of ACM SIGMETRICS, June 2007.
17. van der Merwe J, Sen S, Kalmanek C, Streaming video traffic: characterization and network impact. Proceedings of International Workshop on Web Content Caching and Distribution, 2002.
18. Roughan M, Sen S, Spatscheck O, Duffield N, Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification. Proceedings of ACM SIGCOMM Conference on Internet Measurement, 2004.
19. Nazeeruddin M, Mohandes M, Cam H, ATM QoS prediction using neural networks. Proceedings of International Conference on Neural Information Processing, 1999.
20. Khoukhi L, Cherkaoui S, A quality of service approach based on neural networks for mobile ad hoc networks. Proceedings of IFIP International Conference on Wireless and Optical Communications Networks, 2005.
21. Nogueira A, Salvador P, Valadas R, Predicting the quality of service of wireless LANs using neural networks. Proceedings of ACM International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2007.
22. Cen S, Cosman PC, Voelker GM, End-to-end differentiation of congestion and wireless losses. IEEE/ACM Transactions on Networking 2003; 11 (5): 703-717.
23. Taylor S, Lutfiyya H, Predicting violations of QoS requirements in distributed systems. Proceedings of IFIP/IEEE International Conference on Management of Multimedia Networks and Services, 2003.
24. Gulliver SR, Ghinea G, Defining user perception of distributed multimedia quality. ACM Transactions on Multimedia Computing, Communications, and Applications 2006; 2 (4): 1-10.
25. Ghinea G, Thomas JP, QoS impact on user perception and understanding of multimedia video clips. Proceedings of ACM International Conference on Multimedia, 1998.
26. Jiang Y, Tham C-K, Ko C-C, Challenges and approaches in providing QoS monitoring. International Journal of Network Management 2000; 10 (6).
27. Hohn N, Veitch D, Inverting sampled traffic. IEEE/ACM Transactions on Networking 2006; 14 (1).
28. Kaminski W, Strumillo P, Kernel orthonormalization in radial basis function neural networks. IEEE Transactions on Neural Networks 1997; 8 (5): 1177-1183. (Pubitemid 127763348)
29. Huang G-B, Zhu Q-Y, Siew C-K, Extreme learning machine: theory and applications. Neurocomputing 2006; 70 (1): 489-501. (Pubitemid 44615772)
30. Huang G-B, Chen L, Siew C-K, Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 2006; 17 (4): 879-892. (Pubitemid 44194149)
31. Stein EM, Shakarchi R, Real Analysis: Measure Theory, Integration, and Hilbert Spaces. Princeton University Press: Princeton, NJ, 2005.
32. Ortega JM, Matrix Theory. Plenum Press: New York, 1987.
33. Lakhina A, Crovella M, Diot C, Mining anomalies using traffic feature distributions. Proceedings of ACM SIGCOMM, 2005.