Las búsquedas y las listas de rankings no necesitan credenciales; el detalle completo de esta página requiere una clave de API gratuita. Consulta la guía para desarrolladores.
Día de Entrega:
2026-08-01
Fecha de Notificación:
2026-09-15
Fecha de conferencia:
2026-12-04
Ubicación:
Nanjing, China
Ediciones:
21
CCF: C ICORE: C QUALIS: B3 Vistas: 47071 Seguidores: 18 Asistentes: 12
Solicitud de Artículos
GPC 2026 (International Conference on Green, Pervasive and Cloud Computing) is a CCF C / ICORE C / QUALIS B3 conference held in Nanjing, China on 2026-12-04. The paper submission deadline is 2026-08-01. Acceptance notifications are sent on 2026-09-15.
Introduction
Green computing, in the context of cloud and pervasive computing, is an emerging research field in computer science and engineering. Pervasive and cloud computing are promising paradigms that have been seeing exponential growth in the deployments and poised to take major roles in human's daily life. But in order to realize this potential, both are facing the critical challenges related to energy consumption, for example, controlling the energy spent by the large-scale data centers and prolonging the battery life of mobile devices in pervasive computing and Internet of Things (IoT). New concepts and technologies such as mobile cloud computing (MCC), software-defined networking (SDN), Edge / Fog and hybrid cloud services can be explored to make data centers and wireless devices more energy efficient.
The 21st International Conference on Green, Pervasive, and Cloud Computing (GPC 2026) focuses on pervasive and environmentally sustainable computing. GPC 2026 will be held on 4th-6th December 2026 at Nanjing, China, and will provide a forum for researchers and practitioners to discuss and exchange novel ideas, results, experiences and work-in-process on Green, Pervasive, and Cloud Computing.
Topics And Scope
Topics of interest include, but are not limited to:
Green and Sustainable Computing and Communication
Energy-Efficient Training and Inference for LLMs / Foundation Models
Green Multimodal and Generative AI Systems
Benchmarking and Evaluation for Green AI
Energy-Efficient Processing and Storage Systems
Cooling, Thermal-Aware Computing, and Power Capping
Computility-Electricity-Carbon Coordination
Energy Harvesting Computing and Communication
Green Satellite Computing
Green Edge Intelligence
Efficient Fine-Tuning Under Resource Constraints
Distributed Computing Across Cloud-Edge-Device Continuum
Model Compression, Pruning, and Quantization
Energy-Efficient Edge Inference and On-Device Intelligence
Efficient Edge Agents and Lightweight Models
Sustainable Federated and Distributed Learning
Mobile Sensing and Computing
Wireless Sensing, including WiFi, mmWave, RFID, acoustic-based sensing, and related techniques
Foundation Models for Mobile and Wearable Sensing
Self-Supervised Learning for Multimodal Sensor Data
Context-Aware and Personalized Mobile Intelligence
On-Device Generative AI and Edge Intelligence for Mobile Systems
Urban Computing / Smart City
City-scale Spatio-temporal Foundation Models
Urban Mobility Intelligence and Human Dynamics Modeling
AI-driven Crowdsensing and Participatory Urban Analytics
Digital Twin and Edge-enabled Smart City Infrastructure
Industrial Digitization and Applications
Edge Intelligence and TinyML for Industrial Systems
Digital Twin and Cyber-physical Manufacturing Systems
Predictive Maintenance with Multimodal Industrial Sensing
Federated and Privacy-preserving Learning for Industrial IoT
Sustainable and Intelligent Cloud Systems
AI-Driven Optimization for Cloud Systems
Carbon/Energy-Efficient Cloud Infrastructure
Sustainable Resource Management in Cloud
Federated and Distributed Cloud Systems
Privacy, Security, and Reliability of Cloud AI Services
Native Cloud Infrastructure
Heterogeneous Resource Management
Runtime Management
Resource Virtualization and Isolation
Energy-Efficient and Sustainable Infrastructure
Programming Models for Cloud
Cloud-Edge Collaborative Programming
Programming in Cloud, such as Serverless and Microservice
Distributed Application Programming
Workflow Orchestration and Service Composition
Aún no hay comentarios.