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IEEE Transactions on Services Computing

短名	IEEE Trans. Serv. Comput.
Journal Impact	5.69
国际分区	COMPUTER SCIENCE, SOFTWARE ENGINEERING(Q1)
期刊索引	SCI Q1中科院 2 区

ISSN	1939-1374, 2372-0204
h-index	87
国内分区	计算机科学(2区)计算机科学计算机信息系统(2区)计算机科学计算机软件工程(2区)

范围涵盖服务创新研发的科学技术的所有计算和软件方面。 IEEE TRANSACTIONS ON SERVICES COMPUTING 强调算法、数学、统计和计算方法，这些方法在服务计算、面向服务的体系结构、WEB 服务、业务流程集成、解决方案性能管理、服务运营和管理的新兴领域中处于核心地位。具体而言，交易涵盖但不限于以下主题：服务计算的数学基础、面向服务的架构（SOA）、服务创建、开发和管理、IT服务和业务服务之间的链接、WEB服务安全和隐私、WEB服务协议和合同、WEB 服务发现和协商、WEB 服务管理、WEB 服务协作、WEB 服务的服务质量、WEB 服务建模和性能管理、构建面向服务的应用程序的解决方案框架、组合 WEB 服务创建和支持基础设施、商业和科学应用NS 使用 WEB 服务和 SOA，使用 WEB 服务的业务流程集成和管理，服务计算的标准和规范，效用模型和解决方案架构，效用计算中的资源获取模型，业务流程建模、集成和管理的数学基础，业务流程建模、集成和协作。

期刊主页投稿网址

涉及主题	计算机科学操作系统工程类计算机网络程序设计语言经济政治学法学数学万维网分布式计算云计算计算机安全业务营销人工智能电信经济服务（商务）数据库生物
出版信息	出版商: Institute of Electrical and Electronics Engineers Inc.，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2008，原创研究文献占比: 99.26%，自引率:14.50%， Gold OA占比: 13.08%
平均审稿周期	网友分享经验：>12周，或约稿
平均录用比例	网友分享经验：较易

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专利引用格式

SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things with Edge Computing

2024-7-1

PrivRo: A Privacy-Preserving Crowdsourcing Service with Robust Quality Awareness

2024-7-1

Recommendation-Enabled Edge Caching and D2D Offloading Via Incentive-Driven Deep Reinforcement Learning

2024-7-1

E<sup>2</sup>MS: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing

2024-7-1

RT3C: Real-Time Crowd Counting in Multi-Scene Video Streams via Cloud-Edge-Device Collaboration

2024-7-1

Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning

2024-7-1

Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum

2024-5-1

Attribute-hiding fuzzy encryption for privacy-preserving data evaluation

2024-5-1

Enhancing Disentanglement of Popularity Bias for Recommendation with Triplet Contrastive Learning

2024-5-1

Incentive Mechanism for Uncertain Tasks under Differential Privacy

2024-5-1

T-Watch: Towards Timed Execution of Private Transaction in Blockchains

2024-5-1

Multi-Attribute Auction-Based Grouped Federated Learning

2024-4-12

CouldPin-Fast: Effient and Effective Root Cause Localization for Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks

2024-4-8

Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation

2024-3-26

Publicly Verifiable Secure Multi-Party Computation Framework Based on Bulletin Board

2024-3-21

A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term Interests

2024-3-21

Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources

2024-3-13

An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud

2024-3-1

Fission Spectral Clustering Strategy For UAV Swarm Networks

2024-3-1

SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain

2024-3-1

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning

2024-3-1

A Bayesian Game Based Bidding Scheme for Mobile Charging Services in IoEV

2024-3-1

QoSGNN: Boosting QoS Prediction Performance With Graph Neural Networks

2024-3-1

EPSet: Efficient and Privacy-Preserving Set Similarity Range Query over Encrypted Data

2024-3-1

PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications

2024-3-1

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data

2024-3-1

Web Service Composition in Mobile Environment: A Survey of Techniques

2024-2-5

A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions

2024-1-1

CSTL: Compositional Signal Temporal Logic for Adaptive Edge Service Monitoring

2024-1-1

<i>Paramart</i>: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services

2024-1-1

An Efficient Algorithm for Microservice Placement in Cloud-Edge Collaborative Computing Environment

2024-1-1

Long-Term Proof-of-Contribution: an Incentivized Consensus Algorithm for Blockchain-enabled Federated Learning

2024-1-1

Scaling Power Management in Cloud Data Centers: A Multi-Level Continuous-Time MDP Approach

2024-1-1

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach

2024-1-1

Detecting Evolving Fraudulent Behavior in Online Payment Services: Open-Category and Concept-Drift

2024-1-1

Privacy-Preserving Multi-Modality-Based Computer-Aided Diagnosis Processing of Liver Diseases

2024-1-1

PIAS: Privacy-Preserving Incentive Announcement System based on Blockchain for Internet of Vehicles

2024-1-1

Incentive Mechanism for Resource Trading in Video Analytic Services Using Reinforcement Learning

2024-1-1

Diner: Interpretable Anomaly Detection for Seasonal Time Series in Web Services

2024-1-1

Multi-objective evolutionary search for optimal Robotic Process Automation architectures

2024-1-1

2D-SAZD: A Novel 2D Coded Distributed Computing Framework for Matrix-Matrix Multiplication

2024-1-1

Anomaly detection service for blockchain transactions using minimal substitution-based label propagation

2024-1-1

VRCCS-AC: Reinforcement Learning for Service Migration in Vehicular Edge Computing Systems

2024-1-1

Cross-view Graph Alignment for Mashup Recommendation

2024-1-1

Design and Generation of a Set of Declarative APIs for Security Orchestration

2024-1-1

Multi-Objective Service Composition in Uncertain Environments

2024-1-1

Ensuring Fairness in Edge Networks: A GNN-Based Media Workload Migration Scheme With Fairness Guarantee

2024-1-1

Ethereum Transaction Replay Platform Based on State-wise Account Input Data

2024-1-1

Low-Cost, High-Reliability Deployment for Cloud Applications with Low-Frequency Periodic Requests

2024-1-1

High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking

2024-1-1

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IEEE Transactions on Services Computing

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最新文章

SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things with Edge Computing

PrivRo: A Privacy-Preserving Crowdsourcing Service with Robust Quality Awareness

Recommendation-Enabled Edge Caching and D2D Offloading Via Incentive-Driven Deep Reinforcement Learning

E<sup>2</sup>MS: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing

RT3C: Real-Time Crowd Counting in Multi-Scene Video Streams via Cloud-Edge-Device Collaboration

Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning

Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum

Attribute-hiding fuzzy encryption for privacy-preserving data evaluation

Enhancing Disentanglement of Popularity Bias for Recommendation with Triplet Contrastive Learning

Incentive Mechanism for Uncertain Tasks under Differential Privacy

T-Watch: Towards Timed Execution of Private Transaction in Blockchains

Multi-Attribute Auction-Based Grouped Federated Learning

CouldPin-Fast: Effient and Effective Root Cause Localization for Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks

Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation

Publicly Verifiable Secure Multi-Party Computation Framework Based on Bulletin Board

A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term Interests

Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources

An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud

Fission Spectral Clustering Strategy For UAV Swarm Networks

SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning

A Bayesian Game Based Bidding Scheme for Mobile Charging Services in IoEV

QoSGNN: Boosting QoS Prediction Performance With Graph Neural Networks

EPSet: Efficient and Privacy-Preserving Set Similarity Range Query over Encrypted Data

PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data

Web Service Composition in Mobile Environment: A Survey of Techniques

A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions

CSTL: Compositional Signal Temporal Logic for Adaptive Edge Service Monitoring

<i>Paramart</i>: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services

An Efficient Algorithm for Microservice Placement in Cloud-Edge Collaborative Computing Environment

Long-Term Proof-of-Contribution: an Incentivized Consensus Algorithm for Blockchain-enabled Federated Learning

Scaling Power Management in Cloud Data Centers: A Multi-Level Continuous-Time MDP Approach

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach

Detecting Evolving Fraudulent Behavior in Online Payment Services: Open-Category and Concept-Drift

Privacy-Preserving Multi-Modality-Based Computer-Aided Diagnosis Processing of Liver Diseases

PIAS: Privacy-Preserving Incentive Announcement System based on Blockchain for Internet of Vehicles

Incentive Mechanism for Resource Trading in Video Analytic Services Using Reinforcement Learning

Diner: Interpretable Anomaly Detection for Seasonal Time Series in Web Services

Multi-objective evolutionary search for optimal Robotic Process Automation architectures

2D-SAZD: A Novel 2D Coded Distributed Computing Framework for Matrix-Matrix Multiplication

Anomaly detection service for blockchain transactions using minimal substitution-based label propagation

VRCCS-AC: Reinforcement Learning for Service Migration in Vehicular Edge Computing Systems

Cross-view Graph Alignment for Mashup Recommendation

Design and Generation of a Set of Declarative APIs for Security Orchestration

Multi-Objective Service Composition in Uncertain Environments

Ensuring Fairness in Edge Networks: A GNN-Based Media Workload Migration Scheme With Fairness Guarantee

Ethereum Transaction Replay Platform Based on State-wise Account Input Data

Low-Cost, High-Reliability Deployment for Cloud Applications with Low-Frequency Periodic Requests

High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking

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