Article
Computer Science, Artificial Intelligence
Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
Summary: This article proposes a novel approach called MEEDA based on the memetic estimation of the distribution algorithm to solve the QoS-aware automated semantic Web service composition problem. By introducing domain-dependent local search methods and an efficient local search strategy, MEEDA outperforms existing algorithms in finding high-quality composite services.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Lynda Mokdad, Jean-Michel Fourneau, Abdelkrim Abdelli, Jalel Ben Othman
Summary: Building business applications from independently developed services has become a current trend in service computing. However, the unreliability of QoS in service composition has raised concerns, leading to the development of different methods to help designers optimize system performance.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Computer Science, Information Systems
Shahriar Badsha, Xun Yi, Ibrahim Khalil, Dongxi Liu, Surya Nepal, Elisa Bertino, Kwok Yan Lam
Summary: The personalized Web service recommendation based on Quality of Service (QoS) is gaining popularity, with collaborative filtering techniques contributing to high accuracy predictions. User location is also an important factor, and privacy-preserving protocols can ensure secure and practical recommendations without disclosing private information.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Zhaoning Wang, Bo Cheng, Wenkai Zhang, Junliang Chen
Summary: This article introduces a many-objective automatic service composition approach named MaSC, which divides the problem into fine-grained subproblems using a temporal goal decomposition mechanism. By employing a novel fitness function in an evolutionary process, the approach is able to simultaneously optimize multiple objectives.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Hardware & Architecture
P. Rajeswari, K. Jayashree
Summary: This study develops a new hybridization of the firefly optimization algorithm with fuzzy logic based web service composition model (F3L-WSCM) in a cloud environment for location awareness. The model aims to address the uncertainty of QoS in composite services and the complex spatio-temporal features in trip planning, demonstrating superior performance in terms of accuracy, execution time, and efficiency.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
ChenYang Li, Jun Li, HuiLing Chen, Ali Asghar Heidari
Summary: In this study, an enhanced hybrid algorithm EESHHO was proposed to improve the performance and robustness of traditional HHO through elite evolutionary strategy (EES). Experimental results showed that EESHHO outperformed other mainstream algorithms in terms of convergence speed and optimization performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Bing Tang, Mingdong Tang, Yanmin Xia, Meng-Yen Hsieh
Summary: A new Web service recommendation method is proposed, which considers the composition patterns between Web services and Mashups, as well as the co-occurrence and popularity of Web services. By using the DeepFM model to learn potential link relationships, the method recommends the top services for the target Mashup application. Experimental results show that this method outperforms others in recommendation effectiveness.
CONNECTION SCIENCE
(2021)
Article
Computer Science, Information Systems
Xiaozhu Wu
Summary: This study introduces a dynamic change and balancing composition method called DCBC, which aims to achieve service composition with suboptimal QoS and maintain load balance between services.
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Rajakumar Ramalingam, Rajeswari Muniyan, Ankur Dumka, Devesh Pratap Singh, Heba G. Mohamed, Rajesh Singh, Divya Anand, Irene Delgado Noya
Summary: MANET is a mobile ad hoc network with no centralized module, using the AODV protocol for service composition. This network faces challenges such as node mobility, link failure, and topology changes.
Article
Computer Science, Theory & Methods
Jun Li, Hao Ren, ChenYang Li, Huiling Chen
Summary: This paper proposes an improved SSA algorithm CSSA integrating chaotic mapping method and fuzzy continuous neighborhood search method, which enhances the capability of solving QoS service composition selection problems. Experimental results demonstrate that CSSA has significant advantages and satisfactory performance in large-scale scenarios.
Article
Computer Science, Artificial Intelligence
Guobing Zou, Tengfei Li, Ming Jiang, Shengxiang Hu, Chenhong Cao, Bofeng Zhang, Yanglan Gan, Yixin Chen
Summary: This paper proposes a deep learning based approach called DeepTSQP to perform temporal-aware service QoS prediction by feature integration. Extensive experiments show that DeepTSQP significantly outperforms state-of-the-art approaches in terms of multiple evaluation metrics for temporal-aware service QoS prediction.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Pegah Alizadeh, Aomar Osmani, Mohamed Essaid Khanouche, Abdelghani Chibani, Yacine Amirat
Summary: The paper addresses the challenge of selecting an optimal service composition without prior knowledge of user QoS preferences, proposing a vector-valued MDP approach that successfully finds the optimal composite services with around 50 interactions with the user.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Hong Jin, Shengping Lv, Zhou Yang, Ying Liu
Summary: Cloud manufacturing (CMfg) has gained increasing attention from academia and industry, with cloud service composition being a critical technique to connect different manufacturing cloud services (MCSs) in order to generate composite manufacturing cloud services (CMCS) to meet user requirements. A novel eagle strategy using uniform Mutation and modified Whale Optimization Algorithm (MWOA) has been proposed to address the challenge of obtaining an optimal CMCS by maintaining a balance between global and local search abilities. Experimental results demonstrate that the MWOA method has superior performance over other methods in solving QoS-aware cloud service composition problems.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Cybernetics
Zhaohong Jia, Li Jin, Yiwen Zhang, Chuang Liu, Kai Li, Yun Yang
Summary: Currently, there are numerous web services providing similar functions and users choose the best one based on the quality of service (QoS). Thus, predicting QoS accurately is a primary challenge in service recommendation. Most existing approaches focus on modeling the interaction relationship between users and services, but they rarely consider both the low-dimensional linear and high-dimensional nonlinear relationships simultaneously. Moreover, although many approaches incorporate location information to overcome data sparsity, they seldom consider the impact of global location information. To address these shortcomings, this paper proposes a new QoS prediction model that combines both local and global location information in the interaction layer. The model utilizes a multilayer perceptron (MLP) to capture the high-dimensional nonlinear relationships between users and services, complemented by the dot product to learn the low-dimensional linear relationships. Experimental results on the real-world dataset WS-Dream validate the prediction performance of the proposed model.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Computer Science, Information Systems
Xiaoke Zhu, Xiao-Yuan Jing, Di Wu, Zhenyu He, Jicheng Cao, Dong Yue, Lina Wang
Summary: The study introduces a novel approach for QoS prediction in Web service recommendation, combining the SPP strategy and LLMF algorithm to protect user privacy and improve prediction accuracy.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
