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QoS Provisioning in Space Information Networks: Applications, Challenges, Architectures, and Solutions

机译:空间信息网络中的QoS供应:应用,挑战,架构和解决方案

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摘要

In emerging scenarios such as the Internet of Things and space-and-ground integrated networks, diverse new applications bring multi-di-mensional quality of service (QoS) requirements to space information networks (SINs). As a mixed problem of routing, traffic control, and resource allocation, QoS provisioning is concentrated on providing customized QoS guarantee to SIN users. On the other hand, motivated by the recent progress in technologies such as software-defined networking and machine learning, many potential solutions for QoS provisioning have been proposed. To utilize the state-of-the-art approaches within QoS provisioning, we provide a forward-looking vision of QoS provisioning that outlines the applications, challenges, architectures, and associated solutions. In this article, we first introduce the applications in three emerging scenarios in terms of traffic characteristics and QoS requirements and identify the accompanying technical challenges for SINs. Then a QoS provisioning architecture with two differentiated transmission modes is proposed. The mirror source mode for bandwidth-tolerant flows improves the network efficiency by centralized traffic scheduling. The preemptive mode for bandwidth-sensitive flows reduces the end-to-end delay by edge node control. Furthermore, the enabling technologies and potential solutions for control logic and forwarding mechanism are analyzed. At last, future research directions are discussed.
机译:在诸如事物互联网和空间集成网络之类的新兴场景中,不同的新应用程序为空间信息网络(SINS)带来多层服务质量(QoS)要求。作为路由,流量控制和资源分配的混合问题,集中了QoS供应,为SIN用户提供定制的QoS保证。另一方面,由于软件定义网络和机器学习等技术的最新进展,已经提出了许多用于QoS供应的潜在解决方案。为了利用QoS配置中的最先进的方法,我们提供了QoS配置的前瞻性愿景,概述了应用程序,挑战,架构和相关解决方案。在本文中,我们首先在交通特征和QoS要求方面在三种新兴情景中介绍了应用程序,并确定循环的伴随技术挑战。然后提出了具有两个差异化传输模式的QoS供应架构。带宽流量的镜像源模式通过集中式流量调度来提高网络效率。带宽敏感流的抢占模式会降低边缘节点控制的端到端延迟。此外,分析了用于控制逻辑和转发机制的启动技术和潜在解决方案。最后,讨论了未来的研究方向。

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  • 来源
    《IEEE Network》 |2021年第4期|58-65|共8页
  • 作者

    Wu Hao; Yan Jian;

  • 作者单位

    Tsinghua Univ Dept Elect Engn Beijing Peoples R China;

    Tsinghua Univ Elect Engn Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China;

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  • 正文语种 eng
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