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research-article

A Survey on Edge Performance Benchmarking

Authors:

Blesson Varghese,

David Bermbach,

Christopher StewartAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 54, Issue 3

Article No.: 66, Pages 1 - 33

https://doi.org/10.1145/3444692

Published: 22 April 2021 Publication History

Abstract

Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet. However, given the loosely coupled nature of such complex systems, their operational conditions are expected to change significantly over time. In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration, and adaptive decision-making. Edge performance benchmarking is a nascent research avenue that has started gaining momentum over the past five years. This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems. It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.

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Index Terms

A Survey on Edge Performance Benchmarking
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. General and reference
  1. Document types
    1. Surveys and overviews

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 54, Issue 3

April 2022

836 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3461619

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University of Sydney, Australia

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Published: 22 April 2021

Accepted: 01 December 2020

Revised: 01 December 2020

Received: 01 April 2020

Published in CSUR Volume 54, Issue 3

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Iqbal UDavies TPerez P(2024)A Review of Recent Hardware and Software Advances in GPU-Accelerated Edge-Computing Single-Board Computers (SBCs) for Computer VisionSensors10.3390/s2415483024:15(4830)Online publication date: 25-Jul-2024
https://doi.org/10.3390/s24154830
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