I/F
A Consumption-Generation Driven Deep Embedding Framework for Next Activity Prediction A Decentralized Root Cause Localization Approach for Edge Computing Environments A Prediction Model for User Propagation Behavior in Social Commerce Based on Transfer Learning and Sparse Representation A Process Discovery for Endpoint-Level Call Relations in Microservice Systems A Resource Selection Model for Minimization of Disruptions in Public Fog Computing Environments Adapting Large Language Models for Encrypted Traffic Analysis Services: An Efficient Realization With Mixture of LoRA Experts Adapting Multi-Model Inference Pipelines With Diffusion-Based Reinforcement Learning in Edge Computing Adaptive Request Scheduling and Load Balancing for Edge Deployed Large Language Models An Adaptive Feature Interaction Learning Model for QoS Prediction With Multi-Source Context BASE: Burst-Adaptive Autoscaling via Stacked Ensembles for SLO Assurance and Cost Efficiency $\mathsf{BFCS}$: A Secure and Efficient Service Framework for Bribery-Free Crowdsourcing Client-Cooperative Split Learning Complementary Reasoning With Graph-Based Projection for Cloud API Recommendation Context-Aware AIGC Service Migration in Edge Intelligence Networks via Transformer DRL Cooperative and Competitive Pricing in Collaborative Edge Computing Data Orchestration Service Placement and Resource Allocation Scheme for Cloud-Edge System Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing Decoupling Location and Preference: A Dual-Branch Architecture for Robust QoS Prediction Under Extreme Sparsity Diffusion-Driven Optimization for Mobility-Aware User Allocation in Computing Power Networks Digital Twin Freshness Maximization in Edge Computing Distributed Dependency-Aware Task Offloading and Service Caching in Cloudlet-Based Edge Computing Networks DOPD: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving DR4SV: A Digital Twin-Enhanced Resource Allocation Mechanism for Satellite-Terrestrial Integrated Vehicular Networks DSR: A DNN Service Recommendation System Based on Pragmatic Information Model for Industrial Defect Detection EAStream: An Environment-Aware Adaptive Bitrate Algorithm for Reliable Video Streaming Services Edge Service-Oriented Game-Theoretic Joint Optimization of UAV Deployment and Hybrid-NOMA Task Offloading in MEC Networks Error Correction Aware Dependent Task Offloading in Satellite Edge Computing Explainable AI-Enabled Privacy-Preserving Query Processing on Blockchain Ledgers With Statistical Metadata Exploring Image Similarity to Optimize Resource Provisioning in Container-Enabled Edge Computing FastPSC: A Fast and Maliciously Secure Set Computation Service for Multi-Owner Set Data Give Me a Secure Ride: TEE-Blockchain Enabled Privacy-Aware and Verifiable Ride Sharing Services GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service Interactive Fast Computation Offloading and Resource Allocation: A Joint Optimization Approach for Metaverse Applications Joint Optimization of Communication-Aware Group Microservice Deployment and Multi-Chain Request Routing LACL: Overcoming Semantic Sparsity in Mashup Development via LLM-Enhanced Service Bundle Recommendation LiveIndex: An Index-Driven Hybrid-Storage Blockchain Framework for Cross-Domain Data Governance LogBoost: Boost Log Anomaly Detection by Cherry-Picking Log Sequences LogInstruct: Knowledge-Driven Instruction Synthesis for Enhancing LLM-Based Log Analysis Maximizing Edge Throughput in Collaborative Multi-Task Inference With Shareable Model Structures Microservice Scheduling With Spatiotemporal Learning in Dynamic and GPU-CPU Heterogeneous Edge Environment Mind the Service: What Crypto Wallets Aren’t Telling You Multimodal Anomaly Detection for Microservice Systems via Grassmann Manifolds-Based Graph Fusion Optimal Computation Load Balancing for Integrated Service Caching and Offloading Systems in Hierarchical Cloud Architecture PeerSync: Accelerating Containerized Model Inference at the Network Edge Preference-Aware Fault-Tolerant Function Embedding in Energy-Harvesting Serverless Edge Computing Pricing and Trading of Data Options on Data-as-a-Service Platforms PUDSQ: Privacy-Preserving User-Defined Skyline Query Processing With Function Secret Sharing Radiant: Efficient Timely Large-Scale Scene Analytics Based on Hierarchical Framework Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking The Wonderful Flower of Seven Colors: Self-Evolution Approach for Multi-Terminal Personalized Service Processing