尾延迟感知雾应用程序副本自动缩放器

Alice Fahs, G. Pierre, E. Elmroth
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引用次数: 13

摘要

对延迟敏感的雾计算应用程序可以使用复制来扩展其容量,并将应用程序实例放置在尽可能靠近最终用户的地方。在这样的地理分布式环境中,一个好的副本放置应该将终端用户设备与其最近的副本之间的尾网络延迟保持在可接受的范围内,同时避免副本过载。当面对非固定工作负载时,动态调整雾应用程序副本的数量和位置是必要的。我们提出了volil,这是一个集成在Kubernetes编排系统中的尾时延感知自动伸缩器。Voila维护来自不同用户位置的流量的细粒度视图,并使用简单而高效的过程来维护适当的应用程序资源的大小和位置。
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Voilà: Tail-Latency-Aware Fog Application Replicas Autoscaler
Latency-sensitive fog computing applications may use replication both to scale their capacity and to place application instances as close as possible to their end users. In such geo-distributed environments, a good replica placement should maintain the tail network latency between end-user devices and their closest replica within acceptable bounds while avoiding overloaded replicas. When facing non-stationary workloads it is essential to dynamically adjust the number and locations of a fog application's replicas. We propose Voilà, a tail-Iatency-aware auto-scaler integrated in the Kubernetes orchestration system. Voila maintains a fine-grained view of the volumes of traffic generated from different user locations, and uses simple yet highly-effective procedures to maintain suitable application resources in terms of size and location.
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