Mathematical Modeling for Parallel and Distributed Processing, 2nd Edition

Dear Colleagues,

Parallel and distributed processing have become increasingly essential for solving computationally intensive tasks. With the exponential growth of data and the increasing availability of CPU cores, efficient parallel and distributed processing solutions have become more desirable. However, despite decades of development, some fundamental challenges still exist, such as the distributed knowledge discovery of large-scale data, peer-to-peer energy trading under complex system environments, the improvement of the services in intelligent transportation systems, and parallel training in deep learning. Mathematical models can help address these challenges through resource utilization optimization, data mining and analytics, energy consumption minimization, and the reduction of communication overheads. By incorporating powerful mathematical models into parallel and distributed processing, we can achieve better performances, optimize computation and communication between nodes, and overcome the fundamental challenges that exist in this field.

The main objective of this Special Issue is to showcase innovative research that combines parallel and distributed computing with powerful and smart mathematical methods. We welcome submissions that present the latest developments in distributed optimization, algorithm design, and mathematical modeling, as well as their applications in big data processing, data usability, energy, transportation, aerospace, and 5G/6G. By highlighting the latest advances in these fields, we aim to generate new ideas and foster collaborations that can address the current challenges and drive further progress in parallel and distributed computing.

Dr. Tian-Yi Li
Dr. Yushuai Li
Dr. Peiyuan Guan
Dr. Lingxiao Yang
Prof. Dr. Lu Chen
Guest Editors

Manuscript Submission Information

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• algebraic digital techniques
• distributed computing
• parallel processing
• algorithm design
• mathematical modeling
• optimization

• Mathematical Modeling for Parallel and Distributed Processing in Mathematics (10 articles)