The 25th International Conference on Algorithms and Architectures for Parallel Processing

Zhengzhou, Henan, China

October 30 - November 02, 2025

Important Dates

Paper Submission
July 15, 2025 (AoE time)
August 31, 2025 (AoE time)
Author Notification
September 15, 2025
Camera-Ready Submission
September 30, 2025
Registration Due
September 30, 2025
Conference Dates
October 30- November 02, 2025

Organizing Committee

Chairs
Zhou Zhou, Changsha University, China
Zhenli He, Yunnan University, China
Jing Liu, Wuhan University of Science and Technology, China
Yuan Liu, xiangtan university, China

RCJO 2025


Download CFP: PDF  

RCJO: Workshop on Resource Coordination and Joint Optimization in Cloud-Edge-End Systems: This workshop focuses on the emerging challenges and innovative solutions in cloud-edge-end (CEE) collaboration for efficient resource coordination and joint optimization. With advancements in cloud computing, edge computing, and terminal devices, the workshop invites contributions on resource coordination, computational and network optimization, and distributed system designs. Experts, scholars, and industry professionals will discuss real-time requirements, bandwidth constraints, latency, and data security within dynamic cloud-edge-end environments. The goal is to explore new technologies, methodologies, and applications for enhancing the coordination and optimization of resources in CEE systems.

We invite submissions from academia, government and industry that present novel research on the topics as following areas:

  • Energy consumption modeling, evaluation, and calculation in cloud-edge-end systems
  • Dynamic allocation and scheduling algorithms for computational resources
  • Task offloading and load balancing in cloud-edge-end systems
  • AI-based resource scheduling optimization in cloud-edge-end systems
  • Intelligent model/algorithm in cloud-edge-end systems
  • Network architecture design and optimization for cloud-edge-end systems
  • Data transmission and caching mechanisms optimization for cloud-edge-end systems
  • Distributed resource management and joint optimization algorithms for cloud-edge-end systems
  • Consistency and fault tolerance issues in cloud-edge-end coordination
  • Multi-layer, multi-objective joint optimization models for cloud-edge-end systems
  • Intelligent sensing and data analysis in cloud-edge-end systems
  • Implementation of self-organizing and self-optimizing mechanisms for cloud-edge-end systems
  • Cloud-edge-end coordination in intelligent transportation systems
  • Resource optimization in IoT and smart manufacturing
  • Collaborative optimization solutions for 5G/5G and future networks

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