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