The Reliable service composition of web services is considered as imperative for ensuring continuous services to the users since they are accountable for consolidating varsity number of applications in spite of their opportunity. The significant enhancement in web services field in the terminal two decades facilitate the privilege of devising peculiar service composition and service selection schemes for optimal performance and success rate of the effective web service composition. Based on the analytic works proposed the effective service composition was proved to be devised using the aspects of QoS or Transactional features of workflow. This survey paper discusses the essential demand for service composition, the enforced technologies to execute service composition and also it figures out the worst candidate services from the state-of-art approaches. It further affords many different composition procedures, exhibiting early implementations of various approaches based on few currently existing service composition platforms and frameworks.

QoS constraints, Web Service Selection, Service Composition, Transactional features

[1] Hwang, S.-Y., Lim, E.-P., Lee, C.-H., & Chen, C.-H. (2008). Dynamic Web Service Selection for Reliable Web Service Composition. IEEE Transactions on Services Computing, 1(2), 104–116. doi:10.1109/tsc.2008.2
[2] Kang, X., Liu, X., Sun, H., Huang, Y., & Zhou, C. (2010). Improving Performance for Decentralized Execution of Composite Web Services. 2010 6th World Congress on Services.doi:10.1109/services.2010.38
[3] G. Zhang, L. Chen, and W. Ha, “Service selection of ensuring transactional reliability and QoS for web service composition,” Mathematical Problems in Engineering, vol. 2012, 641361, 2012.
[4] Liu, H., Zhang, W., Ren, K., Zhang, Z., & Liu, C. (2009). A Risk-Driven Selection Approach for Transactional Web Service Composition. 2009 Eighth International Conference on Grid and Cooperative Computing.doi:10.1109/gcc.2009.68
[5] Omer, A. M., & Schill, A. (2009). Dependency Based Automatic Service Composition Using Directed Graph. 2009 Fifth International Conference on Next Generation Web Services Practices, 2(1), 15-23.
[6] J. El Haddad, M. Rukoz and M. Manouvrier, "TQoS: Transactional and QoS-Aware Selection Algorithm for Automatic Web Service Composition," in IEEE Transactions on Services Computing, vol. 3,no.,pp.73-85,2010. doi:10.1109/TSC.2010.5
[7] Wang, R., Ma, L., & Chen, Y. (2010). The Application of Ant Colony Algorithm in Web Service Selection. 2010 International Conference on Computational Intelligence and Software Engineering, 2(1), 34-43.
[8] Paik, H., Lemos, A. L., Barukh, M. C., Benatallah, B., & Natarajan, A. (2017). Web Service Composition: Data Flows. Web Service Implementation and Composition Techniques, 193-202.
[9] Xiaoqin Fan and Xianwen Fang, 2010. On Optimal Decision for QoS-Aware Composite Service Selection. Information Technology Journal, 9: 1207-1211.
[10] Liu, H., Zhong, F., Ouyang, B., & Wu, J. (2010). An Approach for QoS-Aware Web Service Composition Based on Improved Genetic Algorithm. 2010 International Conference on Web Information Systems and Mining.doi:10.1109/wism.2010.128.
[11] Alexander, T, & Kirubakaran, E. (2014). Optimal QoS based Web Service Choreography using Ant Colony Optimization. International Journal of Computer Applications, 102(11), 39-46.
[12] Rostami, N. H., Kheirkhah, E., & Jalali, M. (2014). An Optimized Semantic Web Service Composition Method Based on Clustering and Ant Colony Algorithm. International journal of Web & Semantic Technology, 5(1),1-8.
[13] Cardinale, Y., Haddad, J. E., Manouvrier, M., & Rukoz, M. (2011). CPN-TWS: A colored petri-net approach for transactional-QoS driven Web Service composition. International Journal of Web and Grid Services, 7(1), 91.
[14] Blanco, E., Cardinale, Y., Vidal, M., El Haddad, J., Manouvrier, M., & Rukoz, M. (2012). A Transactional-QoS Driven Approach for Web Service Composition. Resource Discovery, 1(1), 23-42.
[15] Wang, X., Xu, X., Sheng, Q. Z., Wang, Z., & Yao, L. (2016). Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Transactions on Services Computing, 2(1), 1-1.
[16] Dahan, F., El Hindi, K., & Ghoneim, A. (2017). Enhanced Artificial Bee Colony Algorithm for QoS-aware Web Service Selection problem. Computing, 99(5), 507-517.
[17] Gao, W., & Liu, S. (2012). A modified artificial bee colony algorithm. Computers & Operations Research, 39(3), 687–697.
[18] Dahan, F., El Hindi, K., & Ghoneim, A. (2017). Enhanced Artificial Bee Colony Algorithm for QoS-aware Web Service Selection problem. Computing, 99(5), 507-517.
[19] Zhou, J., & Yao, X. (2016). A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition. The International Journal of Advanced Manufacturing Technology, 88(9-12), 3371–3387.doi:10.1007/s00170-016-9034-1
[20] Zhu, G., & Kwong, S. (2010). Gbest-guided artificial bee colony algorithm for numerical function optimization. Applied Mathematics and Computation, 217(7), 3166–3173.
[21] Wang, X., Xu, X., Sheng, Q. Z., Wang, Z., & Yao, L. (2016). Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Transactions on Services Computing, 2(1), 1-1.
[22] Amiri, M. A., & Serajzadeh, H. (2012). Effective web service composition using particle swarm optimization algorithm. 6th International Symposium on Telecommunications (IST).doi:10.1109/istel.2012.6483169.
[23] Ghobaei-Arani, M., Rahmanian, A. A., Aslanpour, M. S., & Dashti, S. E. (2017). CSA-WSC: cuckoo search algorithm for web service composition in cloud environments. Soft Computing.doi:10.1007/s00500-017-2783-4.
[24] Yiwen Zhang, Guangming Cui, Yan Wang, Xing Guo, & Shu Zhao. (2015). An optimization algorithm for service composition based on an improved FOA. Tsinghua Science and Technology, 20(1), 90–99.doi:10.1109/tst.2015.7040518.
[25] Cristina Bianca, P., Viorica Rozina C., Ioan S., Ramona Bianca.,& Georgiana C.(2011). A Hybrid Firefly-Inspired Approach For Optimal Semantic Web Service Composition. Scalable Computing: Practice and Experience Volume 12, Number 3, pp. 363–369.
[26] Siva Kumar Gavvala , Chandrashekar Jatoth , G.R. Gangadharan , Rajkumar Buyya.(2019) QoS-aware cloud service composition using eagle strategy, Future Generation Computer Systems 90 (2019) 273–290.
[27] Samia Sadouki Chibani, Abdelkamel Tari.(2017) Elephant Herding Optimization for Service Selection in QoS-Aware Web Service Composition International Journal of Computer and Information Engineering Vol:11, No:10, 2017.
[28] Abd Elaziz, M., Oliva, D., & Xiong, S. (2017). An improved Opposition-Based Sine Cosine Algorithm for global optimization. Expert Systems with Applications, 90(2), 484-500.