EdgeBench: A Workflow-Based Benchmark for Edge Computing

Qirui Yang, Runyu Jin, Nabil Gandhi, Xiongzi Ge, Hoda Aghaei Khouzani, Ming Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Edge computing has been developed to utilize heterogeneous computing resources from different physical locations for privacy, cost, and Quality of Service (QoS) reasons. Edge workloads have the characteristics of data-driven, latency-sensitive, and privacy-critical. As a result, edge systems have been developed to be both heterogeneous and distributed to utilize different computing tiers’ resources and features. The unique characteristics of edge workloads and edge systems have motivated EdgeBench, a workflow-based benchmark aiming to provide the ability to explore the full design space of edge applications and edge systems. EdgeBench is both customizable and representative. It allows users to customize the workflow logic of edge workloads, the data storage backends, and the distribution of the individual workflow function to different computing tiers. To illustrate the usability of EdgeBench, we implement two representative edge workflows, a video analytics workflow, and an IoT hub workflow that represent a large portion of today’s edge applications. Both workflows are evaluated using the workflow-level and system-level metrics reported by EdgeBench. We show that EdgeBench can effectively discover the performance bottlenecks and provide improvement implications for the edge workloads and the edge systems.

Original languageEnglish (US)
Title of host publicationAdvances in Information and Communication - Proceedings of the 2024 Future of Information and Communication Conference FICC
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages150-170
Number of pages21
ISBN (Print)9783031540523
DOIs
StatePublished - 2024
EventFuture of Information and Communication Conference, FICC 2024 - Berlin, Germany
Duration: Apr 4 2024Apr 5 2024

Publication series

NameLecture Notes in Networks and Systems
Volume921 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceFuture of Information and Communication Conference, FICC 2024
Country/TerritoryGermany
CityBerlin
Period4/4/244/5/24

Keywords

  • Cloud computing
  • Edge benchmark
  • Edge computing
  • Edge system
  • Function as a service

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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