Intelligent Networking and Computing

About the journal

Intelligent Networking and Computing (iNECT) is an international peer-reviewed journal dedicated to high-quality original research on the design, analysis, and realization of networking and computing systems, with an emphasis on their deep integration with learning-based, data-driven, and AI-native methodologies.The journal provides a high-quality forum for interdisciplinary research that advances the theory, architecture, algorithms, and systems of modern networking and computing. The name iNECT reflects this emphasis on connection, highlighting the journal's focus on integrating networking, computing, and intelligence through principled system design. By emphasizing connection, coordination, and co-design across systems, layers, and methodologies, iNECT promotes intelligent networking and computing by design across the system lifecycle, bridging domains that have traditionally evolved in isolation.iNECT welcomes original research articles, surveys, and visionary perspectives in, but not limited to, the following areas:Networking Systems and Architectures:Wired and wireless networks, future communication systems, and next-generation networking architecturesProgrammable, software-defined, and autonomous networkingNetwork measurement, monitoring, control, and performance analysisTelemetry, observability, and data pipelines for intelligent networked systemsComputing Systems and Platforms:Cloud, edge, and fog computing; distributed and large-scale systemsResource management, scheduling, and system optimizationEnergy-, carbon-, and cost-aware computing systemsLearning- and AI-Integrated Systems:Learning-based and data-driven networking and computingFoundation models, generative AI, and AI-native system architecturesExplainable and trustworthy system intelligenceIntegrated Networking and Computing:Joint design and co-optimization across networking and computingCross-layer and cross-domain system intelligenceEnd-edge-cloud collaboration for AI services, including distributed training, inference, and servingApplications and Emerging Systems:IoT, cyber-physical systems, intelligent transportation, smart cities, and industrial systemsNetworked AI services and large-model-enabled applicationsSecure, reliable, and privacy-aware intelligent networked applications and servicesDeployment, validation, and evaluation of AI-native networking and computing systems, including testbeds, standards, interoperability, and reproducible researchBy fostering interdisciplinary research and cross-layer system design, iNECT is committed to advancing the state of the art in intelligent networking and computing, and to shaping a future of connected intelligence through principled system integration.