Abstract
Today, web services and Service-Oriented Architecture (SOA) are causing a lot of ink and research to be reinforced. This architecture makes the composition of web services a necessity. Considering the increase of these in a way that has many proposals for a single customer request. The proposal of other forms of composition based on quality of service (QoS) that will save time and will perfectly meet the user’s request given the criteria required by each customer presents a challenge today.
In this article, we propose a new concept of composition of web services based on QoS, this concept is based on dominance in the sense of Pareto.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yu, Q., Bouguettaya, A.: Foundations for Efficient Web Service Selection. Springer, Heidelberg (2010). https://doi.org/10.1007/978-1-4419-0314-3
Chankong, V., Haimes, Y.: Multi Objective Decision Making: Theory and Methodology. Courier Dover Publications (2008)
Chen, Y., Huang, J., Lin, C., Hu, J.: Partial selection methodology for efficient QoS-aware service composition. IEEE Trans. Serv. Comput. 8(3), 384–397 (2015)
Claro, D.B.: Spoc: un canevas pour la composition automatique de services web dédiés à la réalisation de devis. Thèse de Doctorat, Ecole Doctorale d’Angers (2006)
Moustafa, A., Zhang, M.: Multi-objective service composition using reinforcement learning. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds.) ICSOC 2013. LNCS, vol. 8274, pp. 298–312. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-45005-1_21
Feng, L.-I., Obayashi, M., Kuremoto, T., Kobayashi, K., Watanabe, S.: QoS optimization for web services composition based on reinforcement learning (2013)
Trummer, I., Faltings, B., Binder, W.: Multio-bjective quality-driven service selection a fully polynomial time approximation scheme. IEEE Trans. Softw. Eng. 40(2), 167–191 (2014)
Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., Fa Fonseca, V.G.: Performance assessment of multi-objective optimizers: an analysis and review. IEEE Trans. Evol. Comput. 7(2), 117–132 (2003)
Gonsalves, T., Yamagishi, K., Toh, K.: Service cost and waiting time-a multi-objective optimization scenario. In: Applications of Digital Information and Web Technologies (2009)
Chan, C.-Y., Jagadish, H.V., Tan, K.-L., Tung, A.K.H., Zhang, Z.: On high dimensional skylines. In: Ioannidis, Y., et al. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 478–495. Springer, Heidelberg (2006). https://doi.org/10.1007/11687238_30
Lin, X., Yuan, Y., Zhang, Q., Zhang, Y.: Selecting stars: the k most representative skyline operator. In: Data Engineering (2007)
Benouaret, K., Benslimane, D., Hadjali, A.: On the use of fuzzy dominance for computing service skyline based on QoS. In: Web Services (icws) (2011)
Alrifai, M., Skoutas, D., Risse, T.: Selecting skyline services for QoS-based web service composition. ACM (2010)
Elkosantini, S.: Introduction à la logique floue (2010)
Benouaret, K., Benslimane, D., Hadjali, A., Barhamgi, M., Maamar, Z., Sheng, Q.Z.: Web service compositions with fuzzy preferences: a graded dominance relationship-based approach. ACM Trans. Internet Technol. (toit) 13(4), 12 (2014)
Zahri, A.: Le classement, vol. 1 (2008)
Yaghoubia, M., Maroosi, A.: Simulation and modeling of an improved multi-verse optimization algorithm for QoS-aware web service composition with service level agreements in the cloud environments. Simul. Model. Pract. Theory 103, 102090 (2020)
Fariss, M., Asaidi, H., Bellouki, M.: Comparative study of skyline algorithms for selecting web services based on QoS. Proc. Comput. Sci. 127, 408–415 (2018)
Fateh, S.: FDMOABC: fuzzy discrete multi-objective artificial bee colony approach for solving the non-deterministic QoS-driven web service composition problem. Expert Syst. Appl. 167, 1 (2021)
Mokdada, L., Fourneaub, J.-M., Abdellic, A., Othman, J.B.: Performance evaluation of a solution for composite service selection problem with multiple consumers. Simul. Model. Pract. Theory 109, 102271 (2021)
Liu, Z., Wang, L., Li, X., Pang, S.: A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm. J. Manuf. Syst. 58, Part A (2021)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Hair, A., Ouchitachen, H. (2021). Selection of Composite Web Services Based on QoS. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2021. Lecture Notes in Business Information Processing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-76508-8_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-76508-8_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-76507-1
Online ISBN: 978-3-030-76508-8
eBook Packages: Computer ScienceComputer Science (R0)