survey

Public Access

A Survey of End-System Optimizations for High-Speed Networks

Authors:

Nathan Hanford,

Matthew K. Farrens,

Brian Tierney, and

Dipak GhosalAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 3

Article No.: 54, Pages 1 - 36

https://doi.org/10.1145/3184899

Published: 16 July 2018 Publication History

Abstract

The gap is widening between the processor clock speed of end-system architectures and network throughput capabilities. It is now physically possible to provide single-flow throughput of speeds up to 100 Gbps, and 400 Gbps will soon be possible. Most current research into high-speed data networking focuses on managing expanding network capabilities within datacenter Local Area Networks (LANs) or efficiently multiplexing millions of relatively small flows through a Wide Area Network (WAN). However, datacenter hyper-convergence places high-throughput networking workloads on general-purpose hardware, and distributed High-Performance Computing (HPC) applications require time-sensitive, high-throughput end-to-end flows (also referred to as “elephant flows”) to occur over WANs. For these applications, the bottleneck is often the end-system and not the intervening network. Since the problem of the end-system bottleneck was uncovered, many techniques have been developed which address this mismatch with varying degrees of effectiveness. In this survey, we describe the most promising techniques, beginning with network architectures and NIC design, continuing with operating and end-system architectures, and concluding with clean-slate protocol design.

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https://doi.org/10.3390/electronics10060639
Bhattacharjee RRajesh RPrasanna Kumar KMV VAthithan GSahadevan A(2021)Scalable flow probe architecture for 100 Gbps+ rates on commodity hardwareJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.04.015155:C(87-100)Online publication date: 30-Dec-2021
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Index Terms

A Survey of End-System Optimizations for High-Speed Networks
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Networking hardware
2. Networks

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 3

May 2019

796 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3212709

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Published: 16 July 2018

Accepted: 01 January 2018

Revised: 01 December 2017

Received: 01 December 2016

Published in CSUR Volume 51, Issue 3

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Cited By

Statkus APaulikas ŠKrukonis A(2021)TCP Acknowledgment Optimization in Low Power and Embedded DevicesElectronics10.3390/electronics1006063910:6(639)Online publication date: 10-Mar-2021
https://doi.org/10.3390/electronics10060639
Bhattacharjee RRajesh RPrasanna Kumar KMV VAthithan GSahadevan A(2021)Scalable flow probe architecture for 100 Gbps+ rates on commodity hardwareJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.04.015155:C(87-100)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1016/j.jpdc.2021.04.015
Frinhani RSerafim WBatista B(2019)Optimization of traffic in real manufacturing environment through WAN acceleratorsProceedings of the XV Brazilian Symposium on Information Systems10.1145/3330204.3330286(1-8)Online publication date: 20-May-2019
https://dl.acm.org/doi/10.1145/3330204.3330286
Xiang ZGabriel FUrbano ENguyen GReisslein MFitzek F(2019)Reducing Latency in Virtual Machines: Enabling Tactile Internet for Human-Machine Co-WorkingIEEE Journal on Selected Areas in Communications10.1109/JSAC.2019.290678837:5(1098-1116)Online publication date: May-2019
https://doi.org/10.1109/JSAC.2019.2906788
Bharti CKanagarathinam MSrivastava SLee MHan JOh W(2019)CAA: CLAT Aware Affinity Scheduler for Next Generation Mobile Networks2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2019.8651699(1-6)Online publication date: 11-Jan-2019
https://dl.acm.org/doi/10.1109/CCNC.2019.8651699
Liu HAn LRen JWang B(2019)An Interactive Traffic Replay Method in a Scaled-Down EnvironmentIEEE Access10.1109/ACCESS.2019.29470627(149373-149386)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2947062

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