IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications.

A crossroads between academic researchers and software professionals, the magazine presents novel content from academic and industry experts on a wide range of topics, including applications, architectures, information management, middleware, policies, security, and standards. It applies theory to the practice of building Internet systems and feeds the experience of Internet system construction and use back into research and theory. The magazine reaches more than 7,000 subscribers internationally, comprising leading researchers, developers, and engineers.

In addition to peer-reviewed articles, IC features industry reports, surveys, tutorials, columns, and news.

Scope

IEEE Internet Computing magazine is multidisciplinary by nature in the field of Internet computing. The magazine focuses on all aspects related to Internet computing, including but not limited to Internet ethics; Internet governance; distributed computing; security, privacy, and trust; Internet economics; social media; web-based applications; and standards. Emphasis is given to technologies, system engineering issues, and applications that allow practitioners to leverage services to be found on the Internet. The magazine invites researchers and practitioners to submit articles describing their efforts and experiences with developments and key trends in Internet technologies and applications.

Special Issue on Humans Meet AI
Submission Date: 2025-03-01

Important Dates

    Submission deadline: 1 March 2025
    Publication date: Nov/Dec 2025

Call for Papers

AI is influencing how we think about, carry out, and achieve a variety of tasks. From systems that recommend what to watch next to assistants that help write scientific articles to military applications that identify targets to hit, AI is challenging what it means to be human.  

This special issue invites papers on  the broad theme of humans and AI working together. We are particularly interested in the following questions: How will humans interact with, use, and benefit from the AI systems of tomorrow? What are the challenges for today’s AI and humans to work together? Social constructs such as empathy and respect are cornerstone for human-to-human interactions. What are the social constructs for human-AI collaborations? How would we model and reason on them? Would existing social science and communication theories play a role in designing and realizing new generation human-AI collaboration? If so, what are methods to incorporate them into computational settings?   

Topics of Interest include but not limited to: Models, methods, evaluation, and artifacts (such as testbeds and datasets) on

    Value-sensitive design and development of human-AI systems;
    Long-term human-AI collaboration, including sustainability and adaptation;
    Shared understanding (or misunderstanding) between humans and AI, e.g., how humans can navigate or even mislead AI (e.g., hiding information from AI);
    Positive (e.g., increased productivity) or negative (e.g., unemployment) impacts of human-AI systems;
    Usability, accessibility, adoptability, and inclusivity and human-AI systems;
    Ethical and social aspects of human-AI systems, including trust, fairness, explainability, and accountability.

Submission Guidelines

For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the IEEE Author Portal and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts. If requested, abstracts should be sent by email to the guest editors directly.

Guest Editors

Pinar Yolum (Lead Guest Editor), p.yolum@uu.nl
Nadin Kokciyan, nadin.kokciyan@ed.ac.uk
Pradeep Murukannaiah, P.K.Murukannaiah@tudelft.nl

Special Issue on Programming Flexible Distributed Systems for the Internet Era
Submission Date: 2025-03-15

Important Dates

    Submission deadline: 15 March 2025
    Publication date: Sept/Oct 2025

Call for Papers

Distributed systems form the foundation of the modern internet, driving applications across cloud computing, IoT, and edge networks. However, the increasing complexity of distributed environments demands a new class of systems: those that are flexible, capable of scaling dynamically, adapting to changing conditions, and maintaining robust performance and security under varying workloads and threats.

Building such systems presents a significant challenge for developers. How do we design and program distributed systems that are not only scalable and adaptive but also robust and secure? This special issue seeks to address this question, focusing on the tools, techniques, and methodologies required to create scalable, adaptable, and resilient distributed systems that stand the test of real-world demands.
Topics of interest include (but are not limited to):

    Programming Languages and Models: Innovations in programming languages, abstractions, and frameworks that facilitate the development of scalable and adaptive distributed systems.
    Scalable and Sustainable System Architectures: Design and implementation of distributed systems that seamlessly scale in response to user demand and resource availability, while optimizing energy efficiency (e.g., workload shifting) and supporting multi-tenancy to enable cost-effective operations.
    Resilience and Robustness: Techniques for programming systems that maintain operational integrity under failures, changing workloads, or adverse conditions.
    Dynamic Adaptation: Approaches to designing systems that can reconfigure or reprogram themselves autonomously to adapt to changing environments.
    Secure and Trustworthy Systems: Security and privacy solutions that integrate with and enhance the flexibility of distributed systems.
    Middleware for Adaptability: Advances in middleware technologies that simplify programming adaptive and secure distributed applications.
    AI-Augmented Flexibility: Leveraging artificial intelligence and machine learning to predict, optimize, and adapt distributed systems to dynamic workloads.
    Development and Deployment Tools: Tools and methodologies for developers to test, debug, and deploy flexible distributed systems effectively.
    Case Studies and Best Practices: Real-world examples of building and programming systems that scale, adapt, and remain secure in diverse scenarios, such as cloud-native applications, edge computing, and IoT networks.

Submissions should emphasize practical solutions, programming techniques, and system design principles that address the triad of scalability, adaptability, and robustness while incorporating strong security foundations. We seek original contributions that provide actionable insights into programming and developing next-generation distributed systems.

Submission Guidelines

For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the IEEE Author Portal and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts. If requested, abstracts should be sent by email to the guest editors directly.

Questions?

Contact the guest editors at m.r.vansteen@utwente.nl, hein.meling@uis.no

Maarten van Steen (Lead guest editor), University of Twente, The Netherlands
Hein Meling, University of Stavanger, Norway

Special Issue on Digital Twins
Submission Date: 2025-07-15

In the dynamic landscape of the era of Industry 4.0, digital twins stand as a transformative technology that bridges physical systems with their digital replicas. This emerging technology introduces a new wave of predictive analytics and operational optimization across diverse sectors. As the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) advance, digital twins promise to redefine industrial practices with increasing impact.

IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue titled “Digital Twins”. This issue will explore the intersection of digital twin technology with IoT, advanced computing, big data, cybersecurity, and other related topics. Submissions should provide insights into the design, implementation, and enhancement of digital twins and are encouraged to spotlight novel computational methods, inventive system architectures, and significant case studies that illustrate the use of digital twins in improving operational efficiency.

Topics of interest include, but are not limited to:

 - Digital twin applications in sectors such as manufacturing, supply chain, aerospace, healthcare, transportation, construction, and energy
 - Architectures and frameworks for digital twin implementation in cloud, fog, and edge computing
 - Interoperability and data integration challenges in digital twin systems
 - Scalability and management of digital twin systems in distributed computing environments
 - Privacy, security, and trust in digital twin applications
 - Digital twins for network design and optimization in telecommunications
 - Simulation and real-time analytics in digital twins
 - Role of AI and ML in the evolution of digital twins for predictive analytics
 - Standardization and regulatory challenges for digital twins