ShapeShifter:解决MEC中的隐藏延迟争用问题

V. Rakovic, K. Hsu, Ketan Bhardwaj, Ada Gavrilovska, L. Gavrilovska
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引用次数: 1

摘要

移动边缘计算(MEC)在移动网络的边缘创建了新的基础设施,从而为通过更接近最终用户和设备来寻求延迟优势的应用程序提供了变革性的机会。然而,MEC流的应用端点之间的网络距离的减少导致在网络边缘交换的数据包爆发中的模式变化。更长的和更密集的爆发产生了一个新的争论来源,这是当前解决方案没有考虑到的。因此,天真地将应用程序配置到MEC层可能会对延迟关键型工作负载产生负面影响,导致高达73%的数据包延迟增加3.8倍。这使得无法在MEC中支持以延迟为中心的slo,从而无法从MEC中获得预期的好处。本文首次描述了移动网络中的这一新的争论点,以及它对MEC可实现的延迟效益的潜在严重影响。我们提出了ShapeShifter,这是MEC架构中的一个新组件,它通过自适应以延迟为中心的MEC流突发管理来解决MEC延迟争用问题。shapesshifter是有效的——它消除了延迟关键应用程序的SLO违规,并将多租户场景下的应用程序性能提高了3.8倍——而且实用——它可以在对当前移动网络生态系统造成最小干扰的情况下部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ShapeShifter: Resolving the Hidden Latency Contention Problem in MEC
Mobile Edge Computing (MEC) creates new infrastructure at the edges of the mobile networks, thus providing transformative opportunities for applications seeking latency benefits by operating closer to end-users and devices. However, the reduced network distance between the application endpoints of the MEC flows causes pattern shifts in the packet bursts exchanged at the network edges. The longer and denser bursts create a new source of contention that is not considered by current solutions. As a result, naively collocating applications onto the MEC tier can negatively affect latency-critical workloads, resulting in up to 73% packets experiencing as much as 3.8x increased latency. This makes it impossible to support latency-centric SLOs in MEC, obviating its expected benefits from MEC. This paper is the first to describe this new contention point in mobile networks and its potentially crippling impact on the achievable latency benefit from MEC. We propose ShapeShifter, a new component in the MEC architecture which solves the MEC latency contention problem through adaptive latency-centric burst management of MEC flows. ShapeShifter is effective - it eliminates SLO violations for latency-critical applications and improves application performance in multi-tenant scenarios by up to 3.8 x – and practical – it can be deployed with minimal disruption to the current mobile network ecosystem.
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