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 Generative AI for Edge Computing
Submission Date: 2025-01-15

Recent breakthroughs in Generative AI have sparked a new era of innovation. Generative AI models such as Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are capable of creating high-quality content in diverse modalities including text, images, videos, and many more, and handle complex tasks with human-level performance that were previously out of reach. Such capabilities bring enormous opportunities to a wide range of areas including edge computing.  

IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue on Generative AI for Edge Computing. The objective of this special issue is to enable researchers and practitioners to share novel and high-quality contributions related to all aspects of generative AI for edge computing. The special issue welcomes contributions from systems, AI, and network research, as well as benchmarks, development tools, and deployment of generative AI to applications where edge computing plays a critical role. 

Topics of interest include, but are not limited to: 

    Efficiency enhancement of Generative AI models for edge devices such as model compression, small language models, efficient inferences and training.
    Generative AI for sensing
    Generative AI for 5G/6G such as physical layer and network protocol design, and integrated communications and sensing.   
    Human-computer interaction that uses generative AI at the edge.
    Infrastructure support for generative AI at the edge.
    Privacy and security of generative AI at the edge such as federated learning and trusted execution environment.
    Benchmarks and development tools for generative AI at the edge.
    Applications and case studies such as autonomous driving, augmented reality, healthcare, and agriculture.

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