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Providing In-network Support to Coflow Scheduling by Benet, Cristian Hernandez; Kassler, Andreas J.; Antichi, Gianni; Benson, Theophilus A.; Pongracz, Gergely is a scholarly article available to read on EtoBox.

What is Providing In-network Support to Coflow Scheduling about?

Many emerging distributed applications, including big data analytics, generate a number of flows that concurrently transport data across data center networks. To improve their performance, it is required to account for the behavior of a collection of flows, i.e., coflows, rather than individual. State-of-the-art solutions allow for a near-optimal completion time by continuously reordering the unfinished coflows at the end-host, using network priorities. This paper shows that dynamically changing flow priorities at the end host, without taking into account in-flight packets, can cause high-degrees of packet re-ordering, thus imposing pressure on the congestion control and potentially harming network performance in the presence of switches with shallow buffers. We present pCoflow, a new solution that integrates end-host based coflow ordering with in-network scheduling based on packet history. Our evaluation shows that pCoflow improves in CCT upon state-of-the-art solutions by up to 34% for varying load.

Author

Benet, Cristian Hernandez; Kassler, Andreas J.; Antichi, Gianni; Benson, Theophilus A.; Pongracz, Gergely

Published

2020

Language

EN