I/F
A Comprehensive Benchmark and Empirical Study of Trace Anomaly Detection A Hierarchical Near-Source Grouping Strategy for Elastic Stream Computing Systems A Multi-Dimensional Analysis of IoT Companion Apps: A Look at Privacy, Security and Accessibility Adaptive Container Migration Strategy for Delay-Sensitive and Dependent Tasks in Internet of Vehicles Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT An Efficient and Stable Knowledge Service Framework for Satellite-Ground Collaboration An Incremental Nonlinear Co-Latent Factor Analysis Model for Large-Scale Student Performance Prediction Answering Why-Not Questions on Top-k Social Image Search Services Application Component Placement and Resource Optimization in Computing Continua AttResRec: Learning User Credibility for Attack Resistant Matrix Factorization Recommendation BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Bridging Edge and Cloud: A Knowledge-Enhanced Framework for Efficient Time Series Anomaly Detection CAST: Cluster-Driven Truthful Crowdfunding Mechanism for Shared AI Service Deployment Cloud-Edge System for Scheduling Unpredictable LLM Requests With Combinatorial Bandit Combating Abusive Information in Encrypted Messaging Services: A Secure and Efficient Realization Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation Cross-F$^{2}$SCIL: A Federated Few-Shot Class Incremental Learning Method for Cross Mobile Edge Network Environments CuPric: Customer Segment-Based Pricing in Mobile Sensors-as-a-Service Data Offloading for Edge-Enabled Smart City Services via Location-Functionality Correlation Analysis Dependency-Aware Online Microservice Re-Scheduling for Adaptive Resources Co-Optimization in Edge Networks Diffusion-Based Multi-Agent Reinforcement Learning for Semantic Vehicular Edge Computing Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing DRL and Game Theory-Based Trajectory Optimization and Task Offloading in Multi-UAV-Assisted MEC DynaEDI+: Reliable and Decentralized Integrity Verification for Dynamic Edge Data Effective Two-Stage Double Auction for Dynamic Resource Provision Over Edge Networks via Discovering the Power of Overbooking Energy Efficient Resource Sharing in Trustworthy Federated Cloud Environment: A Bayesian Game and Double Auction Based Approach Enhancing SLA-DTNA for Intelligence Resource Reservation in Edge-Cloud-End Collaborative ERAP Optimization via Enhanced Constraints and Boundary Detection in GMRA FedHGS: A Federated Point-of-Interest Recommendation Method Based on Heterogeneous Graph Semantics Flexible Shadow: Resource-Efficient Reliability Enhancement for Edge Services Through Dynamic Shadow Coordination FRESCO: Fast and Reliable Edge Offloading With Reputation-Based Hybrid Smart Contracts Generalizable Pareto-Optimal Offloading With Reinforcement Learning in Mobile Edge Computing Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes GMHA: Growable Meta-Heuristic Algorithm for Multi-Objective Optimization Problems and its Application in Cloud Scheduling Hierarchical Decentralized Autoscaling for Spatio-Temporal Load Bursts Hybrid Reputation Fusion and Mutual Information Maximization for Web Services QoS Prediction Improved NSGA-II Using Q-Learning and Shortest Workflow First for Tri-Objective Large-Scale Heterogeneous Multi-Workflow Scheduling Intelligent Compression Offloading and Adaptive Resource Allocation for Wireless Powered MEC iSafeRM: An Interpretable and Safety-Aware Resource Management Framework for Microservice Systems With SLO Guarantees KG4VA: Constructing Vulnerability Knowledge Graph for Software Vulnerability Assessment Knowledge Graph-Enhanced Masked Auto-Encoders for Recommendation Systems KPath: Dependent and Redundant Task Execution Path Planning in Edge Service Networks LogLabeler: Towards Effective Acquisition of Log Labels in Industrial Log-Based Analysis MAO: A Framework for Process Model Generation With Multi-Agent Orchestration Metamorphic Testing for Smart Contracts: A User-Behavior-Sequence-Aware Approach and Automation Tool MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services MSKD: A Knowledge Denoising Framework for Metaverse Service Recommendation Multi-Cloud Service Chain Orchestration Scheme Based on Security Assurance and Quality of Service Niagara+: Scheduling Live ML Analytics Across Heterogeneous Device Processors and Edge Servers Online Caching Replacement in Erasure Coding-Based Edge Storage System