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Conference Papers Year : 2020

Voilà: Tail-Latency-Aware Fog Application Replicas Autoscaler

Abstract

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-latency-aware auto-scaler integrated in the Kubernetes orchestration system. Voilà 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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Dates and versions

hal-02932484 , version 1 (07-09-2020)

Identifiers

  • HAL Id : hal-02932484 , version 1

Cite

Ali Fahs, Guillaume Pierre, Erik Elmroth. Voilà: Tail-Latency-Aware Fog Application Replicas Autoscaler. MASCOTS 2020 - 27th IEEE Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, Nov 2020, Nice, France. ⟨hal-02932484⟩
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