Year: 2025
Type: editorial
Abstract: Despite covering different areas-from microgrids and caching systems to DevOps and nanoelectronics-the papers share a unifying theme: they propose software-driven solutions to enhance system performance and sustainability. Each contribution demonstrates how thoughtful design and modeling can lead to smarter, more dependable technologies. gate' This paper introduces a novel logic gate design using Quantum-dot Cellular Automata (QCA), which offers low power consumption and compact layout. The proposed IGDI gate supports multiple logic operations without reconfiguration, making it a promising candidate for future nanoelectronic systems. The work highlights how software-driven design principles can be applied at the hardware level to achieve sustainability. By modeling uncertainty and component failure states, the authors provide a robust framework for evaluating grid availability. The approach demonstrates how software-based modeling can support sustainable infrastructure planning.Together, these papers illustrate how software and system design can contribute to sustainability across different domains. They show that intelligent architectures-whether in energy systems, development pipelines, or digital logic-can enhance performance, resilience, and adaptability. This collection encourages readers to consider how software solutions can address complex challenges and support a more sustainable future.
Source: Frontiers in Computer Science
Author: Niusha Shafiabady
Institution: Australian Catholic University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,418
OpenAlex ID: W4413380899