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