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Providing In-networ...
Providing In-network Support to Coflow Scheduling
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- Hernandez Benet, Cristian (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Kassler, Andreas (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Antichi, Gianni (author)
- Queen Mary University, United Kingdom
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- A. Benson, Theophilus (author)
- Brown University, United States
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- Pongracz, Gergely (author)
- Ericsson
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(creator_code:org_t)
- IEEE, 2021
- 2021
- English.
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In: Proceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021. - : IEEE. - 9781665405225 ; , s. 235-243
- Related links:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Coflow
- Datacenter Networks
- P4
- Dataplane Programming
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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