Improvement in QCN with BIER for Chassis Topology

Shivani Sharma, Ramalingaswamy Cheruku, Yuval Peled, Prakash Kodali, Venkatesh Gudipadu, Shai Savir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the present era, networking has become an essential requirement as individuals seek interconnectivity and efficient means to share data rapidly. When discussing the swift exchange of information, a network characterized by high speed and minimal congestion is favored by all. In networking, Switches play a very important role to transfer packets of information from source to destination, as routers do in any network topology. For switches to exchange data from the source port of one switch to the destination port of another switch, it requires a special arrangement where every switch is connected to another using chassis topology. When packets transfer, in certain cases, it leads to congestion in the output port due to heavy traffic. A method for resolving the congestion is by signaling to the source port(s), sending the traffic causing the congestion, to throttle the traffic towards the congested port. One such signaling may be based on Quantized Congestion Notification (QCN). As the packets might be received from different sources, the notification needs to be replicated to a subset of the source ports sending to the congested target. This paper proposes the analysis of QCN signaling within a chassis topology, based on different cases using an advanced replication architecture i.e., BIER (Bit Index Explicit Replication) to study its effect to achieve high throughput and low latency of the whole system and proposes a novel approach called periodic QCN for handling persistent congestion.

Original languageAmerican English
Title of host publicationTENCON 2023 - 2023 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-86
Number of pages6
ISBN (Electronic)9798350302196
DOIs
StatePublished - 2023
Externally publishedYes
Event38th IEEE Region 10 Conference, TENCON 2023 - Chiang Mai, Thailand
Duration: 31 Oct 20233 Nov 2023

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference38th IEEE Region 10 Conference, TENCON 2023
Country/TerritoryThailand
CityChiang Mai
Period31/10/233/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • BIER
  • Chassis topology
  • Networking
  • Periodic QCN
  • QCN
  • Switch

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