Abstract
Neural network(NN) and simulation annealing algorithm(SA), combined with adaptive heartbeat mechanism, are integrated to implement an adaptive failure detector for services composition in distributed environment. The simulation annealing algorithm has the strong overall situation optimization ability, therefore in this article a NN-SA model, which connect simulation annealing algorithm and the BP neural network algorithm, is proposed, to predict heartbeat arrival time dynamically. It overcome the flaw running into the partial minimum of the BP neural network. Experimental results show the availability and validity of the failure detector in detail.
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References
Pires, P.F., Benevides, M.R.F., Mattoso, M.: Building Reliable Web Services Compositions. In: Chaudhri, A.B., Jeckle, M., Rahm, E., Unland, R. (eds.) NODe-WS 2002. LNCS, vol. 2593, pp. 59–72. Springer, Heidelberg (2003)
May, K.S., Judith, B., Johan, S., Luciano, B., Sam, G.: A Fault Taxonomy for Web Service Composition. In: Di Nitto, E., Ripeanu, M. (eds.) ICSOC 2007. LNCS, vol. 4907, pp. 363–375. Springer, Heidelberg (2009)
Robbert, R., Yaron, M., Mark, H.: A gossip-style failure detection service. In: Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing, The Lake District, United Kingdom, pp. 55–70 (2009)
Chen, W., Toueg, S., Aguilera, M.K.: On the quality of service of failure detectors. IEEE Transactions on Computers 51(2), 13–32 (2002)
Bertier, M., Marin, O., Sens, P.: Implementation and performance evaluation of an adaptable failure detector. In: Proc. IEEE Intl. Conf. On Dependable Systems and Networks (DSN 2002), pp. 354–363 (2002)
Hayashibara, N., Défago, X., Yared, R., Katayama, T.: The φ accrual failure detector. In: Proc. 23nd IEEE Intl. Symp. On Reliable Distributed Systems (SRDS 2004), pp. 66–78 (2004)
Hayashibara, N., Défago, X., Katayama, T.: Implementation and performance analysis of the φ-failure detector. Research Report IS-RR-2003-013, Japan Advanced Institute of Science and Technology, Ishikawa, Japan (2003)
Hayashibara, N., Défago, X., Katayama, T.: Two-ways adaptive failure detection with the φ-failure detector. In: Proc. Workshop on Adaptive Distributed Systems (WADiS 2003), Sorrento, Italy, pp. 22–27 (2003)
Ilunga, M., Stephenson, D.: Infilling streamflow data using feed-forward backpropagation (BP) artificial neural networks: Application of standard BP and pseudo Mac Laurin power series BP techniques. Water SA 31, 171–176 (2005)
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Wu, C., Wu, K., Feng, L., Tian, D. (2010). NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment. In: Cao, L., Zhong, J., Feng, Y. (eds) Advanced Data Mining and Applications. ADMA 2010. Lecture Notes in Computer Science(), vol 6441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17313-4_44
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DOI: https://doi.org/10.1007/978-3-642-17313-4_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17312-7
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