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A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

机译:一种智能网络和可感知计算的编排器,可增强基于云的多媒体服务的QoS

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Rich-media applications deployed on cloud lead the use of the internet by people and organisations around the world. The advent of Software-Defined Networking (SDN), Networking Function Virtualisation (NFV), and Machine Learning (ML) techniques brings new possibilities to address carrier environment challenges, especially QoS. The literature does not show a smart and flexible solution that brings scalability with holistic management of network, compute, and application resources taking into account different approaches to enhance QoS. This paper presents the Orchestrator that manages agnostic network, compute, and applications resources hosted in the cloud. Through ML algorithms, our solution enhances QoS towards network resilience, bandwidth allocation based on real-time traffic, and end-to-end QoS mechanism to the event-driven scenario. The Orchestrator operation spans across different domains providing applications, virtual functions, and cloud resources management elastically. Our experimental evaluation in a large-scale testbed shows Orchestrator's capability to provide a smart jitter decrease using AI techniques.
机译:部署在云上的富媒体应用程序导致世界各地的人们和组织使用Internet。软件定义网络(SDN),网络功能虚拟化(NFV)和机器学习(ML)技术的出现带来了解决运营商环境挑战(尤其是QoS)的新可能性。文献没有显示出一种智能,灵活的解决方案,该解决方案在考虑到用于增强QoS的不同方法的情况下,通过对网络,计算和应用程序资源的整体管理带来了可伸缩性。本文介绍了Orchestrator,它管理托管在云中的不可知网络,计算和应用程序资源。通过ML算法,我们的解决方案增强了QoS的网络弹性,基于实时流量的带宽分配以及端到端QoS机制以适应事件驱动的情况。 Orchestrator操作跨不同的域,可以灵活地提供应用程序,虚拟功能和云资源管理。我们在大型测试平台上进行的实验评估表明Orchestrator能够使用AI技术降低智能抖动。

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