QoEScope: Adaptive IP service management for heterogeneous enterprise networks

Yueping Zhang, V. Singh, Yu Gu, Guofei Jiang, Yu Ru
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引用次数: 2

Abstract

In the recent years, a progressively growing number of computing and communication services have undertaken the migration from their conventional media to the new unified platform, IP networks. As a consequence, business success of service providers becomes largely determined by the effectiveness of their service management schemes, which require rapid identification of problems and resolution of network-related anomalies. However, this is a non-trivial task in heterogeneous enterprise networks due to service providers' invisibility of the health and performance of the underlying carrier network. In addition, the gap between quality of service (QoS) measurements reflecting network performance and quality of experience (QoE) metrics indicating user-perceived service quality further makes effective service management more challenging. In this paper, we present a unified service management system called QoEScope, which combines scalable end-to-end probing, accurate topology inference in the presence of implicit routers, adaptive bridging between QoS measurement and QoE metrics, and intelligent root cause analysis. Extensive testbed emulations and Internet experiments demonstrate that QoEScope is a highly practical and effective IP service management solution for heterogeneous enterprise networks.
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QoEScope:异构企业网络的自适应IP业务管理
近年来,越来越多的计算和通信服务已经开始从传统媒体迁移到新的统一平台——IP网络。因此,服务提供商的业务成功在很大程度上取决于其服务管理方案的有效性,这需要快速识别问题并解决与网络相关的异常。然而,在异构企业网络中,由于服务提供商对底层运营商网络的运行状况和性能不可见,这是一项艰巨的任务。此外,反映网络性能的服务质量(QoS)度量与反映用户感知服务质量的体验质量(QoE)度量之间的差距进一步使有效的服务管理更具挑战性。在本文中,我们提出了一个统一的服务管理系统,称为QoEScope,它结合了可扩展的端到端探测,隐式路由器存在下的精确拓扑推断,QoS测量和QoE度量之间的自适应桥接以及智能根本原因分析。大量的测试仿真和Internet实验表明,QoEScope是一种非常实用和有效的异构企业网络IP业务管理解决方案。
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