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EDITORIAL article

Front. Comput. Sci.

Sec. Software

Volume 7 - 2025 | doi: 10.3389/fcomp.2025.1647904

This article is part of the Research TopicComputer Technology and Sustainable FuturesView all 5 articles

Editorial: Computer Technology and Sustainable Futures Intelligent Architectures for Resilient, Scalable, and Sustainable Systems

Provisionally accepted
  • Discipline of Information Technology, Australian Catholic University, North Sydney, Australia

The final, formatted version of the article will be published soon.

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.

Keywords: Intelligent Systems Architecture, Resilient computing, sustainable infrastructure, uncertainty modelling, Human-centric technology

Received: 16 Jun 2025; Accepted: 31 Jul 2025.

Copyright: © 2025 Shafiabady. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Niusha Shafiabady, Discipline of Information Technology, Australian Catholic University, North Sydney, Australia

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