NDLI: Expeditus: Distributed Load Balancing with Global Congestion Information in Data Center Networks

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Expeditus: Distributed Load Balancing with Global Congestion Information in Data Center Networks

Content Provider	ACM Digital Library
Author	Xu, Hong Wang, Peng
Abstract	We propose Expeditus, a distributed congestion-aware load balancing mechanism for Clos data center networks. The fundamental challenge in making load balancing congestion-aware is, how to collect real-time (in the order of RTT) congestion information from all possible paths, in a scalable and efficient manner. A naive solution requires each edge switch to have congestion information for O(k^4) paths for a k-pod fat-tree, and recent proposals like CONGA only work for the two-tier leaf-spine topology. Expeditus relies on scalable one-hop information collection, where a switch only monitors buffer occupancy from and to its k/2 upstream neighbors, respectively. It further uses a two-stage path selection mechanism to aggregate relevant congestion information across switches and make near-optimal path selection decisions during TCP handshaking. We outline the basic idea of these mechanisms in this extended abstract. Preliminary ns-3 simulations demonstrate that Expeditus outperforms ECMP in fat-tree networks, and outperforms CONGA significantly in leaf-spine topology.
Starting Page	1
Ending Page	3
Page Count	3
File Format	PDF
ISBN	9781450332828
DOI	10.1145/2680821.2680825
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-12-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Datacenter network Distributed Congestion control Load balancing
Content Type	Text
Resource Type	Article

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