Journal & Article

Software Engineering

I/F
# Journal I/F

IEEE Transactions on Services Computing

Editorial: TSC Celebrates IEEE Computer Society's 80th Anniversary Guest Editors’ Introduction: Metaverse Services CrossMeta: A Fast and Cheap Cross-Metaverse Interoperability Protocol Crossport: A Cloud-Edge-End Microservice Architecture for Collaborative Rendering in Metaverse Services FedHydra: Toward Parameter-Efficient and Backdoor-Resistant Federated Unlearning in Human-Centric Metaverse Service Pre-Fetch or Not: A Privacy-Aware Edge-User Co-Opetition Delivery Framework for Metaverse Multimedia Services Trusted Lifecycle Management for AIGC Services in Metaverse: A Blockchain-Empowered Collaborative Service Framework Bi-Objective Optimization for Task Offloading in Vehicular Edge Metaverse Joint Optimization of Fine-Grained Representation and Workflow Orchestration in Metaverse Articulated Manipulation Auto-Generation by VLA Method User-Oriented Fuzzy Requirement Clarification for Agent Services Delivery Based on LLMs Avatar Standardization Efforts for Interoperable Metaverse Services: Toward a Seamless Avatar-as-a-Service Ecosystem Multi-Center Hierarchical Federated Learning for Personalized User Experiences in the Metaverse A Digital Twin-Enhanced Cloud-Edge-End Collaboration Scheme for Intelligent Resource Orchestration A Global Cyber Threat Resilient Cloud Collaboration Framework for Geographically Distributed Data Centers A Hierarchical GNN-Based Multi-Agent Framework for Workflow Scheduling in Hybrid Clouds Considering Privacy Constraints Age-Aware Big Data Query Evaluation for Analytic Services in Serverless Edge Clouds Blockchain-Empowered AI for Fintech Services Computing: A Verifiable Framework for Transparent and Sustainable Credit Risk Assessment CaPTQ: Calibration Data Selection for Visual Services Based on Post-Training Quantization Code Language Models for Security Patch Management: How Far are We? Collaborative Orchestration of Microservices and AI Services in Edges: A Dual-Time-Scale Reinforcement Learning Approach Combating Free-Riding in AIGC Service System: A Decentralized Reputation-Based Model Management Approach Container-State-Aware Energy Consumption Minimization for Serverless Functions Crowdsourcing Feature Selection via a Distributed Evolutionary Algorithm Decentralized Load Balancing in Urban Edge Computing With Spatial Modeling Did I Vet You Before? Assessing the Chrome Web Store Vetting Process Through Browser Extension Similarity Diffusion-Based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses Dual Timescale Service Deployment and Dependent Task Offloading in Multi-Access Edge Computing DUAL: A Federated Unsupervised Anomaly Detection Framework for Collaborative Business Processes Enhancing MLLMs for Online Understanding in Video Services via Preference Optimization Enhancing Real-Time Services in Edge Cloud Data Centers: A Novel Lightweight Virtual Machine Scheduling Approach EquiLink Bridge: A Semi-Custodial Approach to Cross-Chain Transactions via TEE FEP: A Feature-Enhanced QoS Prediction Model With Local-Global Temporal Dual Networks Heuristic-Guided Multi-Agent Reinforcement Learning for Computing Service Scheduling in Distributed Data Centers HyDK: A Hybrid DRL-KKT Framework for Latency-Critical Service Placement With Multi-Source Synchronization Improving Microservices Identification for Migration to Cloud-Native Applications InfSquad: SLO-Aware Serverless Machine Learning Inference With Wasm-Assisted Hybrid Functions Latency Uncertainty-Aware User Allocation in Mobile Edge Computing LEMON: LLM-Enabled Monitoring for Microservices Orchestration LIMR: Intent-Aware Mashup API Recommendation via LLM-Augmented Multi-Scale Fusion LLM4Load-Turbo: A Prompt-Driven LLM Framework With Knowledge Distillation for Efficient Multi-Scale Workload Prediction LLM-Enhanced Failure Localization in Microservices: Integrating Multi-Modal Data and Expert Interpretation MARS: A Multi-Agent Collaborative Reasoning Framework for Service Recommendation MccTTA: A Memory-Efficient Collaborative Continual Test-Time Adaptation Framework for Edge Devices NER-AD: Noise-Robust Reconstruction Enhanced by Representation-Learning for Metric Anomaly Detection in Online Service Systems Online Microservice Deployment in Edge Networks via Multiobjective Deep Reinforcement Learning PAHPA: Revolutionizing Kubernetes Autoscaling With Integrated Predictive Analytics and Real-Time Monitoring PoFEL: Energy-Efficient Consensus for Blockchain-Based Hierarchical Federated Learning Privacy-Preserving Service Migration for Multi-User Metaverse Environments Privacy-Protected Joint Service Placement and Task Offloading for Knowledge-Defined Cloud-Edge Networking QoS-Aware Deep Reinforcement Learning for Dynamic CPU Pinning of Co-Located Cloud Workloads