Latency-sensitive applications often use fog computing platforms to place replicas of their services as close as possible to their end users. A good placement should guarantee a low tail network latency between end-user devices and their closest replica while keeping the replicas load balanced. We propose a latency-aware scheduler integrated in Kubernetes which uses simple yet highly-effective heuristics to identify suitable replica placements, and to dynamically update these placements upon any evolution of user-generated traffic.
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