NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters
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NUMFabric.pdf
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887.97 KB
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Author(s)
Nagaraj, Kanthi
Chinchali, Sandeep
Bharadia, Dinesh
Mao, Hongzi
Alizadeh Attar, Mohammadreza
Katti, Sachin Rajsekhar
Date Issued
August 2016
Journal
Proceedings of the 2016 conference on ACM SIGCOMM 2016 Conference - SIGCOMM '16
Publisher
Association for Computing Machinery
Citation
Nagaraj, Kanthi, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali, Mohammad Alizadeh, and Sachin Katti. “NUMFabric.” Proceedings of the 2016 Conference on ACM SIGCOMM 2016 Conference - SIGCOMM ’16 (2016).
Version
Author's final manuscript
Abstract
We present xFabric, a novel datacenter transport design that provides flexible and fast bandwidth allocation control. xFabric is flexible: it enables operators to specify how bandwidth is allocated amongst contending flows to optimize for different service-level objectives such as minimizing flow completion times, weighted allocations, different notions of fairness, etc. xFabric is also very fast, it converges to the specified allocation one-to-two order of magnitudes faster than prior schemes. Underlying xFabric, is a novel distributed algorithm that uses in-network packet scheduling to rapidly solve general network utility maximization problems for bandwidth allocation. We evaluate xFabric using realistic datacenter topologies and highly dynamic workloads and show that it is able to provide flexibility and fast convergence in such stressful environments.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2934872.2934890
