| 2022 | A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification. Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang |
| 2022 | A Challenge for the Next 50 Years of Automated Service Composition. Marco Aiello |
| 2022 | A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services. Xianjin Rong, Jinghua Zhu, Heran Xi |
| 2022 | A Framework for Extracting and Encoding Features from Object-Centric Event Data. Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst |
| 2022 | A Multi-task Learning Approach for Predicting Intentions Using Smart Home IoT Services. Bing Huang, Boyu Zhang, Quan Z. Sheng, Kwok-Yan Lam |
| 2022 | Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing. Xiaotong Xu, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao |
| 2022 | Automated RESTful API Service Discovery with Various Interface Features. Shuaijun Wang, Yuanyuan Zhou, Zhijun Ding |
| 2022 | BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network. Kuanzhi Shi, Jing Li, Yuecan Liu, Yuzhu Chang, Xuyang Li |
| 2022 | Balancing Supply and Demand for Mobile Crowdsourcing Services. Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi |
| 2022 | Blockchain-Oriented Services Computing in Action: Insights from a User Study. Giovanni Quattrocchi, Damian Andrew Tamburri, Willem-Jan van den Heuvel |
| 2022 | Cheops, a Service to Blow Away Cloud Applications to the Edge. Marie Delavergne, Geo Johns Antony, Adrien Lebre |
| 2022 | Combining Static and Dynamic Analysis to Decompose Monolithic Application into Microservices. Khaled Sellami, Mohamed Aymen Saied, Ali Ouni, Rabe Abdalkareem |
| 2022 | Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. Haiting Zhong, Wei He, Lizhen Cui, Lei Liu |
| 2022 | Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst |
| 2022 | Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher |
| 2022 | DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung |
| 2022 | DeepThought: A Reputation and Voting-Based Blockchain Oracle. Marco Di Gennaro, Lorenzo Italiano, Giovanni Meroni, Giovanni Quattrocchi |
| 2022 | Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang |
| 2022 | Enhancing Performance Modeling of Serverless Functions via Static Analysis. Runan Wang, Giuliano Casale, Antonio Filieri |
| 2022 | Extending the Kubernetes Platform with Network-Aware Scheduling Capabilities. Angelo Marchese, Orazio Tomarchio |
| 2022 | FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks. Zhipeng Gao, Yingwen Duan, Yang Yang, Lanlan Rui, Chen Zhao |
| 2022 | GreenFog: A Framework for Sustainable Fog Computing. Adel Nadjaran Toosi, Chayan Agarwal, Lena Mashayekhy, Sara Kardani-Moghaddam, Md. Redowan Mahmud, Zahir Tari |
| 2022 | IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection. Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang |
| 2022 | Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System. Zhuohan Xu, Yanping Yang, Bing Shi |
| 2022 | Maximizing Consumer Satisfaction of IoT Energy Services. Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari |
| 2022 | MicroEGRCL: An Edge-Attention-Based Graph Neural Network Approach for Root Cause Localization in Microservice Systems. Ruibo Chen, Jian Ren, Lingfeng Wang, Yanjun Pu, Kaiyuan Yang, Wenjun Wu |
| 2022 | MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems. Yufeng Li, Guangba Yu, Pengfei Chen, Chuanfu Zhang, Zibin Zheng |
| 2022 | Mining the Limits of Granularity for Microservice Annotations. Francisco Ramírez, Carlos Joseph Mera-Gómez, Rami Bahsoon, Yuqun Zhang |
| 2022 | Misty: Microservice-Based Streaming Trajectory Similarity Search. Jiachun Tao, Zhicheng Pan, Junhua Fang, Pingfu Chao, Pengpeng Zhao, Jiajie Xu |
| 2022 | Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing. Ting Wei, Pengcheng Zhang, Hai Dong, Huiying Jin, Athman Bouguettaya |
| 2022 | Non-disclosing Credential On-chaining for Blockchain-Based Decentralized Applications. Jonathan Heiss, Robert Muth, Frank Pallas, Stefan Tai |
| 2022 | Optimization of BPMN Processes via Automated Refactoring. Francisco Durán, Gwen Salaün |
| 2022 | PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu |
| 2022 | Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. Zihui Zhao, Xiaoyu Shi, Mingsheng Shang |
| 2022 | Proactive-Reactive Global Scaling, with Analytics. Lorenzo Bacchiani, Mario Bravetti, Maurizio Gabbrielli, Saverio Giallorenzo, Gianluigi Zavattaro, Stefano Pio Zingaro |
| 2022 | Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services. Sara Bouguelia, Auday Berro, Boualem Benatallah, Marcos Báez, Hayet Brabra, Shayan Zamanirad, Hamamache Kheddouci |
| 2022 | Quality Engineering in AI Services. Fabio Casati, Boualem Benatallah |
| 2022 | SCORE: A Resource-Efficient Microservice Orchestration Model Based on Spectral Clustering in Edge Computing. Ning Li, Yusong Tan, Xiaochuan Wang, Bao Li, Jun Luo |
| 2022 | Scalable Discovery and Continuous Inventory of Personal Data at Rest in Cloud Native Systems. Elias Grünewald, Leonard Schurbert |
| 2022 | Semantics-Driven Learning for Microservice Annotations. Francisco Ramírez, Carlos Joseph Mera-Gómez, Shengsen Chen, Rami Bahsoon, Yuqun Zhang |
| 2022 | Service Regulation: Modeling and Recognition. Jintao Chen, Jianwei Yin, Shuiguang Deng, Tiancheng Zhao, Meng Xi |
| 2022 | Service-Based Wireless Energy Crowdsourcing. Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya |
| 2022 | Service-Oriented Computing - 20th International Conference, ICSOC 2022, Seville, Spain, November 29 - December 2, 2022, Proceedings Javier Troya, Brahim Medjahed, Mario Piattini, Lina Yao, Pablo Fernández, Antonio Ruiz-Cortés |
| 2022 | TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning. Suraj Kumar, Soumi Chattopadhyay |
| 2022 | TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction. Wentao Chen, Mingyi Liu, Zhiying Tu, Zhongjie Wang |
| 2022 | Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. Shengxiang Hu, Guobing Zou, Bofeng Zhang, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen |
| 2022 | The Extreme Counts: Modeling the Performance Uncertainty of Cloud Resources with Extreme Value Theory. Mengjuan Li, Jinshu Su, Hongyun Liu, Zhiming Zhao, Xue Ouyang, Huan Zhou |
| 2022 | Training and Serving Machine Learning Models at Scale. Luciano Baresi, Giovanni Quattrocchi |
| 2022 | WebQMon.ai: Gateway-Based Web QoE Assessment Using Lightweight Neural Networks. Enge Song, Tian Pan, Qiang Fu, Chenhao Jia, Jiao Zhang, Tao Huang, Yun-Jie Liu |