Reliability-driven dynamic binding via feedback control

ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems

Volumn , Issue , 2012, Pages 43-52

  Filieri, Antonio ^a   Ghezzi, Carlo ^a   Leva, Alberto ^a   Maggio, Martina ^b  

^a POLITECNICO DI MILANO   (Italy)

^b LUND UNIVERSITY   (Sweden)

Author keywords

discrete time feedback control; dynamic binding; reliability requirements; Self adaptive software

Indexed keywords

DESIGN TIME; DYNAMIC BINDING; FEEDBACK CONTROL PROBLEM; LOW OVERHEAD; MODELING APPROACH; OFF DESIGN CONDITION; ON DYNAMICS; OPERATION POINT; OPERATION TIME; SELF ADAPTATION; SELF ADAPTING; SELF-ADAPT; SELF-ADAPTIVE SOFTWARE; SET-POINT TRACKING;

FEEDBACK CONTROL; SOFTWARE ENGINEERING;

SOFTWARE RELIABILITY;

EID: 84865149776     PISSN: 21572305     EISSN: 21567891     Source Type: Conference Proceeding    
DOI: 10.1109/SEAMS.2012.6224390     Document Type: Conference Paper

References (21)

1. A. Filieri, C. Ghezzi, A. Leva, and M. Maggio, "Self-adaptive software meets control theory: a preliminary approach supporting reliability requirements," in ASE, 2011, pp. 283-292.
2. K. J. Åström and T. Hägglund, Advanced PID control. Research Triangle Park, NY: ISA - the Instrumentation, Systems, and Automation Society, 2006.
3. Messaoud and Benidir, "On the root distribution of general polynomials with respect to the unit circle," Signal Processing, vol. 53, no. 1, pp. 75-82, 1996.
4. A. Leva, "PID autotuning algorithm based on relay feedback," IEE Proceedings-D, vol. 140, no. 5, pp. 328-338, 1993.
5. A. Leva, S. Negro, and A. V. Papadopoulos, "PI/PID autotuning with contextual model parametrisation," Journal of Process Control, vol. 20, no. 4, pp. 452-463, 2010.
6. D. Knuth and A. Yao, Algorithms and Complexity: New Directions and Recent Results. Academic Press, 1976, ch. The complexity of nonuniform random number generation.
7. M. Araki and K. Yamamoto, "Multivariable multirate sampled-data systems: State-space description, transfer characteristics, and nyquist criterion," IEEE Transactions on Automatic Control, vol. 31, no. 2, pp. 145-154, feb 1986.
8. A. Leva, C. Maffezzoni, and R. Scattolini, "Self-tuning PID regulators for stable systems with varying delay," Automatica, vol. 30, no. 7, pp. 1171-1183, 1994.
9. Scilab Consortium, Scilab: The free software for numerical computation, Scilab Consortium, Digiteo, Paris, France, 2011. [Online]. Available: http://www.scilab.org
10. R. Johnson, J. Hoeller, A. Arendsen, T. Risberg, and D. Kopylenko, Professional Java Development with the Spring Framework. Birmingham, UK, UK: Wrox Press Ltd., 2005.
11. D. Ardagna and R. Mirandola, "Per-flow optimal service selection for web services based processes"," Journal of Systems and Software, vol. 83, no. 8, pp. 1512-1523, 2010.
12. N. Ben Mabrouk, S. Beauche, E. Kuznetsova, N. Georgantas, and V. Issarny, "Qos-aware service composition in dynamic service oriented environments," in Middleware 2009, ser. Lecture Notes in Computer Science, J. Bacon and B. Cooper, Eds. Springer Berlin / Heidelberg, 2009, vol. 5896, pp. 123-142.
13. T. Yu, Y. Zhang, and K.-J. Lin, "Efficient algorithms for web services selection with end-to-end qos constraints," ACM Transactions on the Web, vol. 1, May 2007.
14. D. Ardagna and B. Pernici, "Adaptive service composition in flexible processes," IEEE Transactions on Software Engineering, vol. 33, no. 6, pp. 369 -384, june 2007.
15. M. Jaeger, G. Mhl, and S. Golze, "Qos-aware composition of web services: An evaluation of selection algorithms," in On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, ser. Lecture Notes in Computer Science, R. Meersman and Z. Tari, Eds. Springer Berlin / Heidelberg, 2005, vol. 3760, pp. 646-661.
16. L. Zeng, B. Benatallah, A. Ngu, M. Dumas, J. Kalagnanam, and H. Chang, "Qos-aware middleware for web services composition," IEEE Transactions on Software Engineering, vol. 30, no. 5, pp. 311-327, may 2004.
17. G. Canfora, M. Di Penta, R. Esposito, and M. L. Villani, "An approach for qos-aware service composition based on genetic algorithms," in Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, ser. GECCO '05. New York, NY, USA: ACM, 2005, pp. 1069-1075.
18. M. Alrifai and T. Risse, "Combining global optimization with local selection for efficient qos-aware service composition," in Proceedings of the 18th international conference on World wide web, ser. WWW '09. New York, NY, USA: ACM, 2009, pp. 881-890.
19. Q. Liang, X. Wu, and H. Chuin Lau, "Optimizing service systems based on application-level qos," IEEE Transactions on Services Computing, vol. 2, no. 2, pp. 108-121, april-june 2009.
20. C. Ghezzi, A. Motta, V. P. L. Manna, and G. Tamburrelli, "Qos driven dynamic binding in-the-many," in QoSA, 2010, pp. 68-83.
21. D. Yixin, W. W. Chai, J. Hellerstein, A. Storm, M. Surenda, S. Lightstone, S. Parekh, C. Garcia-Arellano, M. Carroll, C. Lee, and J. Colaco, "Comparative studies of load balancing with control and optimization techniques," in Proceedings of the American Control Conference, june 2005, pp. 1484-1490 vol. 2.