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ORCID20th ICSOC 2022: Seville, Spain
- Javier Troya
, Brahim Medjahed, Mario Piattini, Lina Yao, Pablo Fernández, Antonio Ruiz-Cortés:
Service-Oriented Computing - 20th International Conference, ICSOC 2022, Seville, Spain, November 29 - December 2, 2022, Proceedings. Lecture Notes in Computer Science 13740, Springer 2022, ISBN 978-3-031-20983-3
Service Modeling and Mining
- Francisco Durán, Gwen Salaün:
Optimization of BPMN Processes via Automated Refactoring. 3-18 - Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. 19-35 - Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst:
A Framework for Extracting and Encoding Features from Object-Centric Event Data. 36-53 - Shuaijun Wang, Yuanyuan Zhou, Zhijun Ding:
Automated RESTful API Service Discovery with Various Interface Features. 54-70 - Runan Wang, Giuliano Casale, Antonio Filieri:
Enhancing Performance Modeling of Serverless Functions via Static Analysis. 71-88 - Jintao Chen, Jianwei Yin, Shuiguang Deng, Tiancheng Zhao, Meng Xi:
Service Regulation: Modeling and Recognition. 89-104
Quality of Service
- Enge Song, Tian Pan, Qiang Fu, Chenhao Jia, Jiao Zhang, Tao Huang, Yun-Jie Liu:
WebQMon.ai: Gateway-Based Web QoE Assessment Using Lightweight Neural Networks. 107-124 - Shengxiang Hu, Guobing Zou, Bofeng Zhang, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen:
Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. 125-133 - Ting Wei, Pengcheng Zhang, Hai Dong, Huiying Jin, Athman Bouguettaya:
Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing. 134-142 - Suraj Kumar, Soumi Chattopadhyay:
TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning. 143-152
Microservices
- Jiachun Tao, Zhicheng Pan, Junhua Fang, Pingfu Chao, Pengpeng Zhao, Jiajie Xu:
Misty: Microservice-Based Streaming Trajectory Similarity Search. 155-170 - Kuanzhi Shi, Jing Li, Yuecan Liu, Yuzhu Chang, Xuyang Li:
BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network. 171-185 - Ning Li, Yusong Tan, Xiaochuan Wang, Bao Li, Jun Luo:
SCORE: A Resource-Efficient Microservice Orchestration Model Based on Spectral Clustering in Edge Computing. 186-202 - Khaled Sellami, Mohamed Aymen Saied, Ali Ouni, Rabe Abdalkareem:
Combining Static and Dynamic Analysis to Decompose Monolithic Application into Microservices. 203-218 - Yufeng Li, Guangba Yu, Pengfei Chen, Chuanfu Zhang, Zibin Zheng:
MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems. 219-236 - Lorenzo Bacchiani, Mario Bravetti, Maurizio Gabbrielli, Saverio Giallorenzo, Gianluigi Zavattaro, Stefano Pio Zingaro:
Proactive-Reactive Global Scaling, with Analytics. 237-254 - Francisco Ramírez, Carlos Joseph Mera-Gómez, Shengsen Chen, Rami Bahsoon, Yuqun Zhang:
Semantics-Driven Learning for Microservice Annotations. 255-263 - Ruibo Chen, Jian Ren, Lingfeng Wang, Yanjun Pu, Kaiyuan Yang, Wenjun Wu:
MicroEGRCL: An Edge-Attention-Based Graph Neural Network Approach for Root Cause Localization in Microservice Systems. 264-272 - Francisco Ramírez, Carlos Joseph Mera-Gómez, Rami Bahsoon, Yuqun Zhang:
Mining the Limits of Granularity for Microservice Annotations. 273-281
Service Personalization, Recommendation, and Crowdsourcing
- Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. 285-299 - Xiaotong Xu, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao:
Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing. 300-315 - Haiting Zhong, Wei He, Lizhen Cui, Lei Liu:
Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services. 316-330 - Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu:
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. 331-339 - Wentao Chen, Mingyi Liu, Zhiying Tu, Zhongjie Wang:
TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction. 340-348
Blockchain
- Jonathan Heiss, Robert Muth, Frank Pallas, Stefan Tai:
Non-disclosing Credential On-chaining for Blockchain-Based Decentralized Applications. 351-368 - Marco Di Gennaro, Lorenzo Italiano, Giovanni Meroni, Giovanni Quattrocchi:
DeepThought: A Reputation and Voting-Based Blockchain Oracle. 369-383 - Giovanni Quattrocchi, Damian Andrew Tamburri, Willem-Jan van den Heuvel:
Blockchain-Oriented Services Computing in Action: Insights from a User Study. 384-391
IoT and Green Computing
- Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari:
Maximizing Consumer Satisfaction of IoT Energy Services. 395-412 - Bing Huang, Boyu Zhang, Quan Z. Sheng, Kwok-Yan Lam:
A Multi-task Learning Approach for Predicting Intentions Using Smart Home IoT Services. 413-421 - Zhuohan Xu, YanPing Yang, Bing Shi:
Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System. 422-429
Services for Cloud, Edge, and Fog Computing
- Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang:
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. 433-448 - Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher:
Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. 449-464 - Angelo Marchese, Orazio Tomarchio:
Extending the Kubernetes Platform with Network-Aware Scheduling Capabilities. 465-480 - Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung:
DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. 481-497 - Mengjuan Li, Jinshu Su, Hongyun Liu, Zhiming Zhao, Xue Ouyang, Huan Zhou:
The Extreme Counts: Modeling the Performance Uncertainty of Cloud Resources with Extreme Value Theory. 498-512 - Elias Grünewald, Leonard Schurbert:
Scalable Discovery and Continuous Inventory of Personal Data at Rest in Cloud Native Systems. 513-529 - Marie Delavergne, Geo Johns Antony, Adrien Lebre:
Cheops, a Service to Blow Away Cloud Applications to the Edge. 530-539 - Adel Nadjaran Toosi, Chayan Agarwal, Lena Mashayekhy, Sara Kardani-Moghaddam, Md. Redowan Mahmud, Zahir Tari:
GreenFog: A Framework for Sustainable Fog Computing. 540-549
Artificial Intelligence and Machine Learning for Service Computing
- Zhipeng Gao, Yingwen Duan, Yang Yang, Lanlan Rui, Chen Zhao:
FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks. 553-566 - Xianjin Rong, Jinghua Zhu, Heran Xi:
A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services. 567-574 - Sara Bouguelia, Auday Berro, Boualem Benatallah, Marcos Báez, Hayet Brabra, Shayan Zamanirad, Hamamache Kheddouci:
Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services. 575-583 - Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang:
A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification. 584-599 - Zihui Zhao, Xiaoyu Shi, Mingsheng Shang:
Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment. 600-615 - Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang:
IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection. 616-631
Vision Papers
- Marco Aiello:
A Challenge for the Next 50 Years of Automated Service Composition. 635-643 - Fabio Casati, Boualem Benatallah:
Quality Engineering in AI Services. 644-652 - Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya:
Service-Based Wireless Energy Crowdsourcing. 653-668 - Luciano Baresi, Giovanni Quattrocchi:
Training and Serving Machine Learning Models at Scale. 669-683
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