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Title Toward Deep Application-Network Integration: Architectures, Progress and Opportunities
ID_Doc 76084
Authors Serracanta, B; Gao, K; Ros-Giralt, J; Rodriguez-Natal, A; Contreras, L; Yang, R; Cabellos, A
Title Toward Deep Application-Network Integration: Architectures, Progress and Opportunities
Year 2024
Published
Abstract With the rise of a new generation of applications (e.g., virtual and augmented reality, artificial intelligence, etc.) demanding stringent performance requirements, the need for networking solutions and architectures that can enable a higher quality of experience (QoE) has become increasingly important. While jointly optimizing application and network may increase the applications' QoE and simultaneously improve the utilization of network resources, such a paradigm has had limited success in real production networks. However, with the combination of revolutionary trends in computer processing demands, networking capabilities, and sustainable business models, it is high time the community explores the full potential of deeper integration between application and network. In this tutorial article, recent trends observed over the past few years are systematically reviewed. These include the paradigm shift in modern communication services toward computing-driven applications, such as on-site AI training, advances in programmable network technologies like software defined networking (SDN), and new business models incentivizing collaboration and cooperation between parties. Following this, successful scenarios that benefit from various forms of deeper network-application integration are reported, highlighting their considerable potential. A unified framework is then introduced, providing an overview of possible architecture paradigms for network-application integration and bringing awareness to existing abstractions, mechanisms, tools, and their potential combinations. The article concludes with a discussion of several remaining challenges in building practical network-application integrated systems.
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