Jiahua Xu, Yebo Feng, Daniel Perez, Benjamin Livshits
{"title":"Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)","authors":"Jiahua Xu, Yebo Feng, Daniel Perez, Benjamin Livshits","doi":"10.1109/tsc.2025.3553700","DOIUrl":"https://doi.org/10.1109/tsc.2025.3553700","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"93 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672463","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}
Weibei Fan, Fu Xiao, Yao Pan, Xiaobai Chen, Lei Han, Shui Yu
{"title":"Latency-aware Joint Task Offloading and Energy Control for Cooperative Mobile Edge Computing","authors":"Weibei Fan, Fu Xiao, Yao Pan, Xiaobai Chen, Lei Han, Shui Yu","doi":"10.1109/tsc.2025.3553708","DOIUrl":"https://doi.org/10.1109/tsc.2025.3553708","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"183 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672470","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}
Yuzhu Liang, Mujun Yin, Wenhua Wang, Qin Liu, Liang Wang, Xi Zheng, Tian Wang
{"title":"Collaborative Edge Server Placement for Maximizing QoS with Distributed Data Cleaning","authors":"Yuzhu Liang, Mujun Yin, Wenhua Wang, Qin Liu, Liang Wang, Xi Zheng, Tian Wang","doi":"10.1109/tsc.2025.3552337","DOIUrl":"https://doi.org/10.1109/tsc.2025.3552337","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"22 1","pages":"1-15"},"PeriodicalIF":8.1,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640772","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}
{"title":"A Paradigm Shift in Service Research: the Case of Service Composition","authors":"Marco Aiello","doi":"10.1109/tsc.2025.3552345","DOIUrl":"https://doi.org/10.1109/tsc.2025.3552345","url":null,"abstract":"","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"61 1","pages":"1-3"},"PeriodicalIF":8.1,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640770","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}
Mingyi Liu;Gensheng Wu;Hanchuan Xu;Jian Wang;Xiaofei Xu;Zhongjie Wang
{"title":"AdaFlow: Learning and Utilizing Workflows for Enhanced Service Recommendation in Dynamic Environments","authors":"Mingyi Liu;Gensheng Wu;Hanchuan Xu;Jian Wang;Xiaofei Xu;Zhongjie Wang","doi":"10.1109/TSC.2025.3547219","DOIUrl":"10.1109/TSC.2025.3547219","url":null,"abstract":"Service provisioning represents a nuanced form of recommendation, offering a bundle of services (APIs) tailored to the specifics needs of an application (mashup) as defined by the developer, significantly easing development efforts. Unlike standard product recommendations, service recommendations face unique challenges, including cold-start, long-tail phenomena, constraints, dynamic environments, and workflows. While the first four issues have seen some resolution in the literature, the workflow mining and integration among services remains underexplored. In this article, we focus on this gap by introducing AdaFlow, a model designed to understand and leverage service workflows within mashups, identifying viable service patterns for recommendations. AdaFlow employs a Graph Neural Network (GNN)-based framework, AdaptiveNN, to capture and learn service interactions. This learned workflow knowledge feeds into a dynamic GNN, enhancing service evolution representations that inform our recommendation process. Moreover, AdaFlow exhibits superior performance in managing dynamic and imbalanced scenarios.","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":"18 2","pages":"572-585"},"PeriodicalIF":5.5,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569737","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}