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Achieving Privacy-preserving Trajectory Query in Geospatial Information Systems with Outsourced Cloud IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Qinglei Kong, Songnian Zhang, Rongxing Lu, Haiyong Bao, Bo Chen, Shiwu Xu
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FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Guobing Zou, Wenzhuo Yu, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen
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Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Dongyuan Su, Yipeng Zhou, Laizhong Cui, Song Guo
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Incentive-Aware Resource Allocation for Multiple Model Owners in Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Feng-Yang Chen, Li-Hsing Yen
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Attribute-hiding fuzzy encryption for privacy-preserving data evaluation IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Zhenhua Chen, Luqi Huang, Guomin Yang, Willy Susilo, Xingbing Fu, Xingxing Jia
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DPFLA: Defending Private Federated Learning Against Poisoning Attacks IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Xia Feng, Wenhao Cheng, Chunjie Cao, Liangmin Wang, Victor S. Sheng
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Fission Spectral Clustering Strategy For UAV Swarm Networks IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Gepeng Zhu, Haipeng Yao, Tianle Mai, Zunliang Wang, Di Wu, Song Guo
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E2MS: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Yuxiang Liu, Bo Yang, Xiaoyuan Ren, Qi Liu, Sicheng Liu, Xinping Guan
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Dynamic Task Offloading and Resource Allocation for NOMA-aided Mobile Edge Computing: An Energy Efficient Design IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Ying Chen, Jiajie Xu, Yuan Wu, Jie Gao, Lian Zhao
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POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Xingjian Lu, Haikun Zheng, Wenyan Liu, Yuhui Jiang, Hongyue Wu
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StraAlgin: automated strategic alignment of services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Ahmed Saeed Alsayed, Hoa Khanh Dam, Aditya Ghose, Chau Nguyen
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Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-20 Pengfei Wang, Wei Song, Heng Qi, Changjun Zhou, Fuliang Li, Yong Wang, Peng Sun, Qiang Zhang
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Recommendation-Enabled Edge Caching and D2D Offloading Via Incentive-Driven Deep Reinforcement Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-19 Tong Wu, Dongjin Yu, Chengfei Liu, Dongjing Wang, Binbin Huang
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Web Service Composition in Mobile Environment: A survey of Techniques IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-05 Cheyma Ben Njima, Chirine Ghedira Guegan, Youssef Gamha, Lotfi Ben Romdhane
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Autoscaling Solutions for Cloud Applications under Dynamic Workloads IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-05 Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi
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Stable Matching based Revenue Maximization for Federated Learning in UAV-Assisted WBANs IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-31 Moirangthem Biken Singh, Himanshu Singh, Ajay Pratap
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Battery-Aware Energy Optimization for Satellite Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-29 Qing Li, Shangguang Wang, Xiao Ma, Ao Zhou, Yue Wang, Xuanzhe Liu, Gang Huang
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Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-29 Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Chao Qiu, Xiaofei Wang
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Incentive-Aware Partitioning and Offloading Scheme for Inference Services in Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-26 TaeYoung Kim, Chang Kyung Kim, Seung-seob Lee, SuKyoung Lee
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DMPSI:Efficient Scalable Delegated Multiparty PSI and PSI-CA with Oblivious PRF IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-26 Yihao Yang, Yunbo Yang, Xiang Chen, Xiaolei Dong, Zhenfu Cao, Jiachen Shen
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SecDM: A Secure and Lossless Human Mobility Prediction System IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-25 Lin Liu, Shaojing Fu, Xuelun Huang, Yuchuan Luo, Xuyun Zhang, Kim-Kwang Raymond Choo
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QoS Aware Virtual Network Embedding in Space-Air-Ground-Ocean Integrated Network IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-24 Yi Zhang, Peiying Zhang, Chunxiao Jiang, Shangguang Wang, Hongxia Zhang, Chunming Rong
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A Secure Image Outsourcing using Privacy-Preserved Local Color Layout Descriptor in Cloud Environment IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-23 Anju J., Shreelekshmi R.
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Accelerating Tip Selection in Burst Message Arrivals for DAG-based Blockchain Systems IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-23 Xun Xiao
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DCIRM: Dynamic and Controllable Image Retrieval Scheme in Multi-owner Multi-user Settings IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-22 Chenyang Mao, Zhonghua Shen, Kefei Chen, Yong Liu, Qian Meng, Fuqun Wang
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A Privacy-Preserving and Redactable Healthcare Blockchain System IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-22 Shengmin Xu, Jianting Ning, Xiaoguo Li, Jiaming Yuan, Xinyi Huang, Robert H. Deng
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LSE: Efficient Symmetric Searchable Encryption based on Labeled PSI IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-22 Yunbo Yang, Yiwei Hu, Ruofan Li, Xiaolei Dong, Zhenfu Cao, Jiachen Shen, Shangmin Dou
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Hierarchical Deep Reinforcement Learning for Joint Service Caching and Computation Offloading in Mobile Edge-Cloud Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-19 Chuan Sun, Xiuhua Li, Chenyang Wang, Qiang He, Xiaofei Wang, Victor C. M. Leung
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Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-18 Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
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CSTL: Compositional Signal Temporal Logic for Adaptive Edge Service Monitoring IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-17 Deng Zhao, Zhangbing Zhou, Wenbo Zhang, Shuiguang Deng, Xiao Xue, Walid Gaaloul
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Cromlech: Semi-Automated Monolith Decomposition Into Microservices IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-16 Giovanni Quattrocchi, Davide Cocco, Simone Staffa, Alessandro Margara, Gianpaolo Cugola
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Scaling Power Management in Cloud Data Centers: A Multi-Level Continuous-Time MDP Approach IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-16 Behzad Chitsaz, Ahmad Khonsari, Masoumeh Moradian, Aresh Dadlani, Mohammad Sadegh Talebi
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Oasis: Online All-Phase Quality-Aware Incentive Mechanism for MCS IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-16 Man Zhang, Xinghua Li, Yinbin Miao, Bin Luo, Siqi Ma, Kim-Kwang Raymond Choo, Robert H. Deng
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faasHouse: Sustainable Serverless Edge Computing through Energy-aware Resource Scheduling IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-16 Mohammad Sadegh Aslanpour, Adel N. Toosi, Muhammad Aamir Cheema, Mohan Baruwal Chhetri
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Scheduling Workflow Tasks With Unknown Task Execution Time by Combining Machine-Learning and Greedy-Optimization IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-15 Yuanhao Yang, Hong Shen, Hui Tian
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Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-15 Na Guo, Cong Liu, Caihong Li, Qingtian Zeng, Chun Ouyang, Qingzhi Liu, Xixi Lu
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Service Degradation-Tolerated Online User Allocation in Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-12 Jiahao Zhu, Lu Zhao, Jian Zhou, Weidu Ye, Fu Xiao
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Clustering Based Priority Queue Algorithm for Spatial Task Assignment in Crowdsourcing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-12 Yue Ma, Xiaofeng Gao, Shahzad Sarwar Bhatti, Guihai Chen
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Heterogeneity-aware Proactive Elastic Resource Allocation for Serverless Applications IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-08 Binbin Feng, Zhijun Ding, Xiaobo Zhou, Changjun Jiang
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Blockchain-Assisted Secure Deduplication for Large-Scale Cloud Storage Service IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-05 Zhongyun Hua, Yufei Yao, Mingyang Song, Yifeng Zheng, Yushu Zhang, Cong Wang
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High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-05 Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou
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Joint Client Selection and Bandwidth Allocation of Wireless Federated Learning by Deep Reinforcement Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-05 Wei Mao, Xingjian Lu, Yuhui Jiang, Haikun Zheng
Federated Learning (FL) is a promising paradigm for massive data mining service while protecting users’ privacy. In wireless federated learning networks (WFLNs), limited communication resources and heterogeneity of user devices have essential impacts on training efficiency of FL, hence it is critical to select clients and allocate network bandwidths among them in each learning round to improve the
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Monitoring Probe Deployment Patterns for Cloud-Native Applications: Definition and Empirical Assessment IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-04 Alessandro Tundo, Marco Mobilio, Oliviero Riganelli, Leonardo Mariani
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Accelerating Cross-Shard Blockchain Consensus via Decentralized Coordinators Service With Verifiable Global States IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-04 Kun Zhou, Xiaoli Zhang, Chunping Wang, Hongbing Cheng
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Collaborative Tag-Aware Graph Neural Network for Long-Tail Service Recommendation IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-04 Zhipeng Zhang, Yuhang Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren
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Joint Optimization of Service Deployment and Request Routing for Microservices in Mobile Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-03 Kai Peng, Liangyuan Wang, Jintao He, Chao Cai, Menglan Hu
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A Lightweight Authentication-Driven Trusted Management Framework for IoT Collaboration IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-03 Guanjie Cheng, Yewei Wang, Shuiguang Deng, Zhengzhe Xiang, Xueqiang Yan, Peng Zhao, Schahram Dustdar
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Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-03 Baocang Wang, Yange Chen, Furong Li, Jian Song, Rongxing Lu, Pu Duan, Zhihong Tian
Convolutional Neural Networks (CNNs) possess extensive applicability across diverse domains, particularly in the realm of image recognition. In light of the advent of machine learning as a service, the utilization of a well-trained CNN model by servers to execute image classification based on user queries has become a significant service, catering to a wide array of applications. Nevertheless, this
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Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-01 Penglin Dai, Meiting Wu, Ke Li, Xiao Wu, Yan Ding
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Privacy Enhanced Authentication for Online Learning Healthcare Systems IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-01-01 Jianghua Liu, Jian Yang, Xinyi Huang, Lei Xu, Yang Xiang
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Business Process Retrieval From Large Model Repositories for Industry 4.0 IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-29 Rui Zhu, Yue Huang, Ling Liu, Wei Zhou, Xuan Zhang, Yeting Chen, Li Cai
The process model repository has demonstrated unprecedented success in a variety of industrial and process as a service scenarios. With the rapid increase of massive business process-related data under Industry 4.0, effectively retrieval of process models from large process model repositories becomes a critical challenge for process mining, process deployment and process model acquisition. To accelerate
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Decentralized Cooperative Caching and Offloading for Virtual Reality Task Based on GAN-Powered Multi-Agent Reinforcement Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-28 Yang Yang, Lei Feng, Yao Sun, Yangyang Li, Fanqin Zhou, Wenjing Li, Shangguang Wang
As a critical and prevalent service in future mobile networks, virtual reality (VR) is latency-sensitive and power-hungry, bringing out the optimization problem of trade-off among power saving, delay, and resource utilization. Content caching and render offloading are deemed as promising solutions to meet the stringent requirements of VR on data transmission speed and end-to-end latency. In this article
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Latency-Based Inter-Operator Scheduling for CNN Inference Acceleration on GPU IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-22 Yukai Ping, He Jiang, Xingxiang Liu, Zhenyang Zhao, Zhide Zhou, Xin Chen
Convolutional Neural Networks (CNNs) are widely deployed on the Graphics Processing Unit (GPU) to support Deep Learning (DL) based services. Popular DL frameworks usually ignore the inter-operator parallelism when executing the inference of CNNs, which results in high inference latency. Although some inter-operator scheduling methods have been proposed, there remains a critical trade-off issue between
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A Blockchain System for QoS Monitoring in Decentralized Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-21 Puwei Wang, Haoran Li, Hang Fu, Zhouxing Sun, Jinchuan Chen, Xiaoyong Du
In edge computing, applications are usually delivered as services, each of which runs independently and cooperates to construct complicated applications. QoS (Quality of Service) monitoring is an important way to detect and locate faulty services. In a decentralized environment, QoS monitoring will face trust problem because it is difficult to guarantee the trustworthiness of monitoring results. This
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Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-19 Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He
Federated edge learning (FEEL) is a promising collaborative paradigm, which employs edge devices (EDs) to train machine learning models for a federation. It opens countless opportunities to enable edge intelligence. The increasingly diversified demands for intelligent services are driving the deployment of various federations at the edge. Existing works on FEEL focus on a single federation and ignore
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Demystifying Data Poisoning Attacks in Distributed Learning as a Service IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-12 Wenqi Wei, Ka-Ho Chow, Yanzhao Wu, Ling Liu
Data Poisoning is a dominating threat in the distributed learning-as-a-service API, where the mediator has limited control over the distributed client contributing to the joint model. Through an in-depth characterization of data poisoning risks in federated learning, this paper presents a comprehensive study towards demystifying data poisoning attacks from three perspectives. First , we formally define
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AIEC-RSC: AI and Edge Collaboration Empowered Reliable Service Computing for High-Speed Mobile Businesses IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-08 Siya Xu, Jingye Chi, Shi Wang, Shaoyong Guo, Xuesong Qiu, Luoming Meng
With the rapid development of high-speed assistant driving and smart inspections, the edge network is required to provide quick and reliable service to avoid large service response delays and frequent re-transmissions caused by interruption. However, the reasonable service component caching, efficient edge collaboration and reliable cross-domain computation offloading are still key problems to be solved
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Generative-Adversarial-Based Feature Compensation to Predict Quality of Service IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-07 Peiyun Zhang, Yutong Chen, Wenjun Huang, Haibin Zhu, Qinglin Zhao
Predicting quality of service (QoS) is an important issue in the field of service recommendation that has been widely studied in the past few years. Many current methods predict QoS values based on the historical invocation records of services, but most of them ignore the time-varying characteristics of these values. Capturing time-varying characteristics to ensure accurate prediction of QoS values
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Servitization of Customized 3D Assets and Performance Comparison of Services and Microservices Implementations IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-06 Angel Ruiz-Zafra, Janet Pigueiras-del-Real, Manuel Noguera, Lawrence Chung, David Griol Barres, Kawtar Benghazi
3D models (or assets) that are present in many of modern software applications are first modeled by graphic designers using dedicated computer graphic tools and then integrated into such software applications or apps by software developers. This simple workflow/procedure requires developers to have a basic grounding in computer graphics, since 3D engines, libraries and third-party software are needed
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GAN Based Audio Noise Suppression for Victim Detection at Disaster Sites With UAV IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2023-12-01 Chinthaka Premachandra, Yugo Kunisada
This article presents a noise suppression system designed for unmanned aerial vehicles (UAVs). Searching for people using robots is expected to become a useful tool for saving lives during disasters. In particular, because UAVs can collect information from the air, there has been much research in rescue support using UAVs equipped with cameras. However, a limitation of cameras is their difficulty in