Combination Optimization of Web Services with Credibility and QoS Attributes

Authors

  • Xiang Sun Linyi Vocational University of Science and Technology, Linyi 276000, China

DOI:

https://doi.org/10.13052/jwe1540-9589.2551

Keywords:

Web services, trustworthiness, QoS attributes, bat optimization algorithm, comprehensive weighting calculation

Abstract

To address the problem of low service quality and efficiency caused by non-functional attributes in traditional Web service composition, this paper proposes a Web service composition model construction and optimization method that integrates trustworthiness calculation and QoS attributes. First, we conduct separate objective reputation assessments and subjective trust evaluations based on user needs. Next, we perform attribute normalization and calculate subjective and objective weights according to QoS attribute classifications to establish a comprehensive weighting method. Finally, we develop a multi-attribute QoS composite service model and optimize it using the IBBS algorithm to select the optimal Web service combination. Experimental results demonstrate that both the proposed reliability calculation method and QoS attribute service selection approach can effectively compute Web service reliability and optimize candidate service selections. Compared with advanced optimization algorithms, the IBBS algorithm exhibits significantly better time efficiency and optimization outcomes. When implemented in the constructed Web service combination system, this algorithm substantially enhances service quality, better meets user requirements, and demonstrates robust effectiveness and stability.

Downloads

Download data is not yet available.

Author Biography

Xiang Sun, Linyi Vocational University of Science and Technology, Linyi 276000, China

Sun Xiang was born in Shandong, China, in January 1983. He studied at Beijing Jiaotong University and received his master’s degree in 2008. He currently serves as a lecturer at Linyi Vocational University of Science and Technology. His primary research interests include information technology planning and construction, software architecture design, and software development and testing.

References

Zhao Liang, Wang Bin, Zhang Lingning. Research on Web Service Optimization Using Automated Testing Technology [J]. Automation Applications, 2025, 66(14): 256–259.

Zhang Chi, Kim Yong-ki. A framework for matching conversation types in Web services based on SxSTS [J]. Computer Applications and Software, 2025, 42(8): 12–19.

Lin Mingwei, Li Wenqiang, Xu Xiuqin, et al. Web Service Quality of Service (QoS) Estimation Using Accelerated Unconstrained Tensor Decomposition [J]. Journal of Communications, 2024, 45(3): 166–181.

Tan Hefei, Zong Rong, Wu Hao, et al. Graph Convolutional-Based Multi-task Web Service Quality of Service Prediction [J]. Computer Engineering and Design, 2024, 45(01): 47–54.

Deng Shuzhen, Liu Decong, Chen Xiaozhu. Design of SDN Control Attribute Reconfiguration Algorithm [J]. Journal of Anhui Electronic Information Vocational and Technical College, 2025, 24(2): 59–63.

Tu Jun, Xie Fei. Research on Markov Chain-Based Detection Technology for Terminal Web Service Attacks [J]. Microcomputer Applications, 2025, 41(6): 26–29.

Wen Haibiao. Design and Implementation of Lightweight Web Services in Go Language [J]. Computer Knowledge and Technology, 2025, 21(16): 45–47.

Sun Xutao, Guo Xiaowei, Wang Zhijia. A Method for Calculating the Credibility of Simulation Models Based on Model Validation Data [J]. Computer Simulation, 2022, 39(12): 73–76.

Chen Lin, Zhao Dong, Yin Jianbing, Wang Mingchang, et al. Adaptive Selection Model for Power Business Services under QoS Data Uncertainty [J]. Electronic Design Engineering, 2024, 32(13): 131–134+139.

Wang Zhan, Zhang Pengcheng, Jin Huiying, et al. Future attribute verification of service combinations in cloud-network convergence environment [J]. Computer Engineering, 2025, 51(3): 310–319.

Chen Dandan, Wang Junfeng, Li Xiaohui, et al. Time-series QoS prediction in cloud service recommendation based on multi-source features and multi-task learning [J]. Journal of Sichuan University (Natural Sciences Edition), 2024, 61(4): 140–150.

Liao Wei, Zhang Yong. Design of Elastic Cloud Service Architecture for High-Performance Web Applications [J]. Electronic Technology, 2025, 54(04): 160–161.

Li Haojie, Guo Xu. Performance Analysis of Responsive Programming on Web Servers [J]. Journal of Shanghai Dianji University, 2025, 28(1): 58–62.

Mecheri K, Klai S, Souici-Meslati L. Deep learning based web service recommendation methods: A survey[J]. Journal of Intelligent & Fuzzy Systems, 2023, 44(6): 9879–9899.

Baun C, Bouché J. Closing the gap between web applications and desktop applications by designing a novel desktop-as-a-service (DaaS) with seamless support for desktop applications[J]. Open Journal of Cloud Computing (OJCC), 2023, 8(1): 1–19.

Purohit L, Rathore S S, Kumar S. A QoS-aware clustering based multi-layer model for web service selection[J]. IEEE Transactions on Services Computing, 2023, 16(5): 3141–3154.

Sivanandam C, Perumal V M, Mohan J. A novel light GBM-optimized long short-term memory for enhancing quality and security in web service recommendation system[J]. The Journal of Supercomputing, 2024, 80(2): 2428–2460.

Swathi V, Kumar G S, Vathsala A V. Cloud service selection system approach based on QoS model: A systematic review[J]. International journal on recent and innovation trends in computing and communication, 2023, 11(2): 05–13.

Khelil H, Brahimi M. Toward an efficient web service composition based on an improved BTLBO algorithm[J]. The Journal of Supercomputing, 2024, 80(7): 8592–8613.

Pandharbale P B, Mohanty S N, Jagadev A K. QoS-aware web services recommendations using dynamic clustering algorithms[J]. International Journal of Information System Modeling and Design (IJISMD), 2022, 13(6): 1–16.

Muslim H S M, Rubab S, Khan M M, et al. S-RAP: relevance-aware QoS prediction in web-services and user contexts[J]. Knowledge and Information Systems, 2022, 64(7): 1997–2022.

Solomon N. Ogili, G. N. Onoh. Performance Evaluation Of Quality Of Service Of A 4g Network In A Tropical Environment[J]. International Journal of Computer (IJC), 2023, 47(1): 21–35.

Hanabaratti K D, Rodd S F. Evolutionary Computing based Web Service Composition Technique for Scheduling of Workload under Cloud Environment[J]. Indian Journal of Science and Technology, 2022, 15(2): 69–80.

Guo Yimin, Zheng Guangliang. Technical Governance Challenges and Reflections in Web Service Applications for Government Service Platforms [J]. Journal of Liaoning Technical University (Social Sciences Edition), 2025, 27(1): 32–36.

Hasnain M, Ghani I, Pasha M F, et al. Machine learning methods for trust-based selection of web services[J]. KSII Transactions on Internet and Information Systems (TIIS), 2022, 16(1): 38–59.

Esfandiari A, Farivar F, Khaloozadeh H. Fractional-order binary bat algorithm for feature selection on high-dimensional microarray data[J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14(6): 7453–7467.

Liangzhao Zeng, Boualem Benatallah, Marlon Dumas, Jayant Kalagnanam, Anne H H Ngu. QoS-Aware Service Composition: A Retrospective[J]. IEEE Transactions on Software Engineering, 2025, 51(3): 836–841.

Salkuti S R. Binary bat algorithm for optimal operation of radial distribution networks[J]. International Journal on Electrical Engineering and Informatics, 2022, 14(1): 148–160.

Mouwafi M T, Abou El-Ela A A, El-Sehiemy R A, et al. Techno-economic based static and dynamic transmission network expansion planning using improved binary bat algorithm[J]. Alexandria Engineering Journal, 2022, 61(2): 1383–1401.

Zhang Zhipeng, Zhou Jingquan. Web service composition optimization method based on improved bee colony algorithm [J]. Computer Technology and Development, 2024, 34(3): 64–69.

Downloads

Published

2026-07-06

How to Cite

Sun, X. . (2026). Combination Optimization of Web Services with Credibility and QoS Attributes. Journal of Web Engineering, 25(05), 737–764. https://doi.org/10.13052/jwe1540-9589.2551

Issue

Section

Advanced Practice in Web Engineering in Asia