Network and Parallel Computing

21st IFIP WG 10.3 International Conference, NPC 2025, Nha Trang, Vietnam, November 14–16, 2025, Proceedings, Part I

AvXiaoliang Wang,Xiaohong Jiang

Häftad, Engelska, 2025

Del i serien Lecture Notes in Computer Science

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Beskrivning

This two-part volume LNCS 16305 and 16306 constitutes the proceedings of the 21st IFIP International Conference on Network and Parallel Computing, NPC 2025, which was held in Nha Trang, Vietnam, during November 14-16, 2025.The 76 full papers included in this volume were carefully reviewed and selected from 223 submissions. Topics of interest include, but are not limited to, parallel and distributed applications and algorithms, parallel and distributed architectures and systems, and parallel and distributed software environments and tools.

Produktinformation

Utgivningsdatum:2025-11-16
Mått:155 x 235 x 29 mm
Vikt:785 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:501
Förlag:Springer Nature Switzerland AG
ISBN:9783032104588

Utforska kategorier

Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT
Nätverk och kommunikation inom Data och IT

Innehållsförteckning

.- HSampler: Optimizing Multi-GPU GNN Sampling with Collision-Avoid Selection..- ServScale: Concurrency-aware Serverless Execution and Scaling Paradigm..- Pallas: Optimizing LLM-based Anomaly Traffic Classification with Compressed Prompt Engineering..- A Reputation-Driven Malicious User Detection for Truth Discovery in Mobile Crowdsensing..- CFLBD: Distance-Informed Dynamic Clustering via Bhattacharyya Metrics for Federated Learning..- SAMSformer: A Multi-Scale Prediction Model Based on Parallel Transformer..- Computing Measurement-Based Deployment of Service Function Chains in Computing Power Networks..- Exploiting Transformer-based Static Binary Analysis for Identifying Inefficient Locks..- Open Services Availability First-Based Routing and Scheduling Optimization for Wide-Area Deterministic Networks..- Incremental Distributed Algorithms for Game-theoretic Betweenness Centralities in Dynamic Graphs..- LightCacheRL: A Lightweight Reinforcement Learning Framework for Unified Cache Management..- Joint Optimization of Computation and Communication Resources for GPU Allocation in Heterogeneous Clusters..- upTSA: A DIMM-based Near Data Processing Accelerator for Time Series Analysis..- HSC: Scalable Task Scheduling in Large-Scale Edge Environments..- A Semi-Decoupled VLM Planner with a Memory Mechanism for Autonomous Driving..- An FPGA-Based Distributed Shared Memory Architecture Supporting CXL 2.0+ Specification..- DPS: A Congestion-aware Allreduce Job Placement for In-network Aggregation..- Carbon-Aware Task Scheduling in Distributed Computing Continuum: A Lyapunov-Guided Reinforcement Learning Approach..- DCTS-RDMA: Adaptive FEC via Dynamic Coding for Efficient RDMA over Lossy Networks..- Adap DP-FR: Adaptive Differential Privacy for Federated Recommendation..- LingXi: An Architecture for COM/MON-based High-integrity TSN/TTE Switch..- TAIR: Achieving Tenant Anomaly Isolation with Request Scheduling in Serverless Computing..- GICNet: Goal Interaction Conditioned Network for Human Trajectory Forecasting..- FPGA-Accelerated CNN-Transformer Hybrid Model for Real-Time Semantic Segmentation in Autonomous Driving..- ASR of CoMP-UAV Cellular Networks with Specific Eavesdropper..- FedLay: An Energy-Efficient Hierarchical Federated Learning Framework for Heterogeneous Edge Devices..- Bridge the Gap Between QoS and QoE in Mobile Short Video Service: a CDN Perspective..- RSCAC-NET: A Remote Sensing Image Change Description Network Based on Change-Aware and Multi-Stage Global Fusion..- Cultivator: Multi-Granularity Tree Construction in Heterogeneous Edge-Cloud Training..- Adaptive Anomaly Detection for IoT Networks: Improved Feature Engineering and Classification..- BlockSDN-VC: A SDN-Based Virtual Coordinate-Enhanced Transaction Broadcast Framework for High-Performance Blockchains..- LLM-Enhanced Heterogeneous Graph Embedding Model for DNS Security..- Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices..- Fluid-DataTable: Elastic and Efficient Caching for Cloud Native Big Data Query System..- An effective defense scheme based on SDN for DDoS attacks system..- EdgeInferFlow: A Distributed Inference Acceleration Method for Deep Learning Chained Structure Models for Edge Devices..- Performance Analysis of Multipath QUIC Schedulers for Video Streaming over Hybrid 5G-Satcom Networks..- A Privacy-preserving Edge Inference Framework for Low-Altitude UAV Swarm Intelligence.