IEEE Transactions on Services Computing最新文献

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Calling Out Trustless Users: A Trust Propagation Scheme for Decentralized Trust Management 呼唤不可信用户:一种分散式信任管理的信任传播方案
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-21 DOI: 10.1109/tsc.2025.3601226
Yong Yu, Haochen Yang, Yannan Li, Robert H. Deng
{"title":"Calling Out Trustless Users: A Trust Propagation Scheme for Decentralized Trust Management","authors":"Yong Yu, Haochen Yang, Yannan Li, Robert H. Deng","doi":"10.1109/tsc.2025.3601226","DOIUrl":"https://doi.org/10.1109/tsc.2025.3601226","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"15 1","pages":"1-13"},"PeriodicalIF":8.1,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Reciprocal Dual-channel Preference Extraction and Refinement Network for Category-aware Service Recommendation 一种新的双向双通道偏好提取和优化网络用于类别感知服务推荐
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-21 DOI: 10.1109/tsc.2025.3601040
Shuxiang Xu, Qibu Xiang, Yushun Fan, Jia Zhang
{"title":"A Novel Reciprocal Dual-channel Preference Extraction and Refinement Network for Category-aware Service Recommendation","authors":"Shuxiang Xu, Qibu Xiang, Yushun Fan, Jia Zhang","doi":"10.1109/tsc.2025.3601040","DOIUrl":"https://doi.org/10.1109/tsc.2025.3601040","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"46 1","pages":"1-14"},"PeriodicalIF":8.1,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Understanding AWS Provider Dependencies Updates in Infrastructure-as-Code: Empirical Study, Taxonomy, and Insights 了解基础设施即代码中的AWS提供商依赖关系更新:实证研究、分类和见解
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-20 DOI: 10.1109/tsc.2025.3601051
Mahi Begoug, Ali Ouni, Jasem Khelifi
{"title":"Understanding AWS Provider Dependencies Updates in Infrastructure-as-Code: Empirical Study, Taxonomy, and Insights","authors":"Mahi Begoug, Ali Ouni, Jasem Khelifi","doi":"10.1109/tsc.2025.3601051","DOIUrl":"https://doi.org/10.1109/tsc.2025.3601051","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"23 1","pages":"1-17"},"PeriodicalIF":8.1,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EPPQ: Efficient and Privacy-Preserving $k$NN Query Processing for Outsourced High-Dimensional Data 面向外包高维数据的高效、隐私保护的$k$NN查询处理
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-19 DOI: 10.1109/tsc.2025.3600124
Jing Wang, Haiyong Bao, Rongxing Lu, Cheng Huang, Menghong Guan, Lu Xing
{"title":"EPPQ: Efficient and Privacy-Preserving $k$NN Query Processing for Outsourced High-Dimensional Data","authors":"Jing Wang, Haiyong Bao, Rongxing Lu, Cheng Huang, Menghong Guan, Lu Xing","doi":"10.1109/tsc.2025.3600124","DOIUrl":"https://doi.org/10.1109/tsc.2025.3600124","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"15 1","pages":"1-14"},"PeriodicalIF":8.1,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fault-Tolerant Cost-Efficient Scheduling for Energy and Deadline-Constrained IoT Workflows in Edge-Cloud Continuum 边缘云连续体中能源和截止日期限制物联网工作流的容错成本效益调度
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-15 DOI: 10.1109/tsc.2025.3599497
Ahmad Taghinezhad-Niar, Javid Taheri
{"title":"Fault-Tolerant Cost-Efficient Scheduling for Energy and Deadline-Constrained IoT Workflows in Edge-Cloud Continuum","authors":"Ahmad Taghinezhad-Niar, Javid Taheri","doi":"10.1109/tsc.2025.3599497","DOIUrl":"https://doi.org/10.1109/tsc.2025.3599497","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"47 1","pages":"1-12"},"PeriodicalIF":8.1,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrating Functional and Structural Semantics for Web API Recommendation via Multi Meta-path Aggregation 通过多元路径聚合集成功能和结构语义的Web API推荐
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-15 DOI: 10.1109/tsc.2025.3599574
Chunyan Sang, Y ahao Liu, Shigen Liao, Junhao Wen
{"title":"Integrating Functional and Structural Semantics for Web API Recommendation via Multi Meta-path Aggregation","authors":"Chunyan Sang, Y ahao Liu, Shigen Liao, Junhao Wen","doi":"10.1109/tsc.2025.3599574","DOIUrl":"https://doi.org/10.1109/tsc.2025.3599574","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"25 1","pages":"1-14"},"PeriodicalIF":8.1,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accurate and Interpretable Log-Based Fault Diagnosis using Large Language Models 基于大语言模型的准确和可解释的日志故障诊断
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-15 DOI: 10.1109/tsc.2025.3599494
Yongqian Sun, Shiyu Ma, Tong Xiao, Yongxin Zhao, Xuhui Cai, Wei Dong, Yue Shen, Yao Zhao, Shenglin Zhang, Jing Han, Dan Pei
{"title":"Accurate and Interpretable Log-Based Fault Diagnosis using Large Language Models","authors":"Yongqian Sun, Shiyu Ma, Tong Xiao, Yongxin Zhao, Xuhui Cai, Wei Dong, Yue Shen, Yao Zhao, Shenglin Zhang, Jing Han, Dan Pei","doi":"10.1109/tsc.2025.3599494","DOIUrl":"https://doi.org/10.1109/tsc.2025.3599494","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"27 1","pages":"1-14"},"PeriodicalIF":8.1,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation 利用物联网服务预测和推荐延长物联网设备的网络寿命
IF 8.1 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-15 DOI: 10.1109/tsc.2025.3599467
Damilola Alao, Victorine Clotilde Wakam Younang, Amartya Sen
{"title":"Extending IoT Devices Network Lifetime Using IoT Service Prediction and Recommendation","authors":"Damilola Alao, Victorine Clotilde Wakam Younang, Amartya Sen","doi":"10.1109/tsc.2025.3599467","DOIUrl":"https://doi.org/10.1109/tsc.2025.3599467","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"15 1","pages":"1-12"},"PeriodicalIF":8.1,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time-Varying Microservice Orchestration With Routing for Dynamic Call Graphs via Multi-Scale Deep Reinforcement Learning 基于多尺度深度强化学习的动态调用图路由时变微服务编排
IF 5.8 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-11 DOI: 10.1109/TSC.2025.3597631
Yi Hu;Liangbo Hou;Junhui Hu;Mingyuan Ren;Menglan Hu;Chao Cai;Kai Peng
{"title":"Time-Varying Microservice Orchestration With Routing for Dynamic Call Graphs via Multi-Scale Deep Reinforcement Learning","authors":"Yi Hu;Liangbo Hou;Junhui Hu;Mingyuan Ren;Menglan Hu;Chao Cai;Kai Peng","doi":"10.1109/TSC.2025.3597631","DOIUrl":"10.1109/TSC.2025.3597631","url":null,"abstract":"Lightweight microservices as a software architecture have been widely adopted in online application development. However, in highly-concurrent microservice scenarios, frequent data communications, complex call dependencies, and dynamic delay requirements bring great challenges to efficient microservice orchestration. In this case, service deployment and request routing are interactively-coupled in multi-instance modeling, and cannot be locally optimized effectively, thereby enlarging the difficulty for collaborative orchestration. To accommodate time-varying request properties and dynamic microservice multiplexing, orchestration schemes are frequently adapted to real-time parallel request queues, further complicating the difficulty. Nevertheless, most previous work failed to propose appropriate models and methods for the above issues. Therefore, this paper investigates the online microservice orchestration with probabilistic routing for dynamic call graphs in clouds. First, we formulate the time-slot-based joint optimization problem as a Markov Decision Process. The open Jackson queuing networks are used to accurately establish multi-instance models and analyze the request queuing, processing, and communicating delays. Then, we propose an efficient curiosity-driven deep reinforcement learning algorithm, which meticulously implements instance-level orchestration through multi-dimensional collaborative decisions and multi-time-scale trigger events. Finally, through comprehensive trace-driven experiments, our proposed approach significantly outperforms other baselines in terms of orchestration cost and resource utilization.","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"18 5","pages":"3276-3291"},"PeriodicalIF":5.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144850618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards Fairness Exploration and Optimization for Digital Service Networks 面向数字业务网络公平性的探索与优化
IF 5.8 2区 计算机科学
IEEE Transactions on Services Computing Pub Date : 2025-08-08 DOI: 10.1109/TSC.2025.3595214
Zhongxuan Han;Li Zhang;Chaochao Chen;Xiaolin Zheng;Yuyuan Li;Shuiguang Deng;Guanjie Cheng;Schahram Dustdar
{"title":"Towards Fairness Exploration and Optimization for Digital Service Networks","authors":"Zhongxuan Han;Li Zhang;Chaochao Chen;Xiaolin Zheng;Yuyuan Li;Shuiguang Deng;Guanjie Cheng;Schahram Dustdar","doi":"10.1109/TSC.2025.3595214","DOIUrl":"https://doi.org/10.1109/TSC.2025.3595214","url":null,"abstract":"Digital service networks often face the challenge of <bold>S</b>ervice-<bold>O</b>riented <bold>F</b>airness (SOF), where service nodes with varying levels of activity may receive unequal treatment. This article takes the recommendation service system as a representative case to explore and mitigate the impact of SOF. The SOF issue in the recommendation service system can be abstracted as <bold>U</b>ser-<bold>O</b>riented <bold>F</b>airness (UOF), where service models often exhibit bias toward a small group of users, resulting in significant unfairness in the quality of recommendations. Existing research on UOF faces three major limitations, and no single approach effectively addresses all of them. <bold>Limitation 1:</b> Post-processing methods fail to address the root cause of the UOF issue. <bold>Limitation 2:</b> Some in-processing methods rely heavily on unstable user similarity calculations under severe data sparsity problems. <bold>Limitation 3:</b> Other in-processing methods overlook the disparate treatment of individual users within user groups. In this article, we propose a novel <bold>I</b>ndividual <bold>R</b>eweighting for <bold>U</b>ser-<bold>O</b>riented <bold>F</b>airness framework, namely IR-UOF, to address all the aforementioned limitations. The motivation behind IR-UOF is to <italic>introduce an in-processing strategy that addresses the UOF issue at the individual level without the need to explore user similarities.</i> We first conduct extensive experiments on three real-world recommendation service datasets using four backbone recommendation models to demonstrate the effectiveness of IR-UOF in mitigating UOF and improving recommendation fairness. Furthermore, we select two general digital service datasets to prove that IR-UOF can be extended to tackle the general SOF issue in other types of digital service networks. In summary, the IR-UOF framework achieves optimal model performance across all datasets, while improving fairness by at least 3.8% in recommendation systems and 24.7% in general service systems.","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"18 5","pages":"3307-3320"},"PeriodicalIF":5.8,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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