The growing demand for reliable, high-concurrency digital services in industrial automation, smart infrastructure, IoT-enabled electrical systems, and communication networks has made scalable distributed computing a central concern for both academia and industry. This special session focuses on the design, performance evaluation, and optimization of distributed and high-performance computing (HPC) systems, with particular emphasis on applications in electrical and electronics engineering, including embedded and edge systems, industrial IoT, real-time monitoring, smart infrastructure, and next-generation communication networks.
Topics of interest include load-balancing and caching strategies for scalable service clusters, benchmarking methodologies for concurrency and resource efficiency, edge-cloud offloading and orchestration for latency-sensitive systems, distributed storage and adaptive scaling, and distributed architectures for IoT and 5G/6G communication systems. The session also welcomes AI-driven approaches to predictive resource scaling and workload management, as well as blockchain and consensus mechanisms for decentralized energy and data-integrity applications.
Contributions may include empirical performance studies, architectural proposals, optimization methods, and real-world deployment case studies. By bringing together researchers working on the computational, architectural, and infrastructural dimensions of distributed systems and their EE applications, this session aims to foster interdisciplinary discussion on resilient, scalable, and efficient computing platforms for next-generation electrical and electronic systems. A dedicated special session provides a focused forum for this interaction across conventional computing and EE research tracks.