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A Survey on Edge Performance Benchmarking

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arxiv 2004.11725 v2 pith:LWNFGPRX submitted 2020-04-24 cs.DC

classification cs.DC
keywords performancebenchmarkingedgecoupledsystemswillcomputinginternet
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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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Cited by 1 Pith paper

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  1. Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey

    cs.CV 2026-05 unverdicted novelty 4.0 of 10

    A comprehensive survey of edge deep learning in computer vision and medical diagnostics that presents a novel categorization of hardware platforms by performance and usage scenarios.

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