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PROWESS: An Open Testbed for Programmable Wireless Edge Systems

Authors:

Avishek Banerjee,

Kannan Srinivasan,

Anish AroraAuthors Info & Claims

PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You

Article No.: 11, Pages 1 - 9

https://doi.org/10.1145/3491418.3530759

Published: 08 July 2022 Publication History

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Abstract

Edge computing is a growing paradigm where compute resources are provisioned between data sources and the cloud to decrease compute latency from data transfer, lower costs, comply with security policies, and more. Edge systems are as varied as their applications, serving internet services, IoT, and emerging technologies. Due to the tight constraints experienced by many edge systems, research computing testbeds have become valuable tools for edge research and application benchmarking. Current testbed infrastructure, however, fails to properly emulate many important edge contexts leading to inaccurate benchmarking. Institutions with broad interests in edge computing can build testbeds, but prior work suggests that edge testbeds are often application or sensor specific. A general edge testbed should include access to many of the sensors, software, and accelerators on which edge systems rely, while slicing those resources to fit user-defined resource footprints. PROWESS is an edge testbed that answers this challenge. PROWESS provides access across an institution to sensors, compute resources, and software for testing constrained edge applications. PROWESS runs edge workloads as sets of containers with access to sensors and specialized hardware on an expandable cluster of light-weight edge nodes which leverage institutional networks to decrease implementation cost and provide wide access to sensors. We implemented a multi-node PROWESS deployment connected to sensors across Ohio State University’s campus. Using three edge-native applications, we demonstrate that PROWESS is simple to configure, has a small resource footprint, scales gracefully, and minimally impacts institutional networks. We also show that PROWESS closely approximates native execution of edge workloads and facilitates experiments that other systems testbeds can not.

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Cited By

Rakshit AReddy SRamnath RArora ABoubin J(2024)Righteous: Automatic Right-Sizing for Complex Edge Deployments2024 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC62691.2024.00010(15-28)Online publication date: 4-Dec-2024
https://doi.org/10.1109/SEC62691.2024.00010
Hamid O(2023)Data-Centric and Model-Centric AI: Twin Drivers of Compact and Robust Industry 4.0 SolutionsApplied Sciences10.3390/app1305275313:5(2753)Online publication date: 21-Feb-2023
https://doi.org/10.3390/app13052753
Nezami ZPournaras EBorzouie AXu J(2023)SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C58168.2023.00021(1-7)Online publication date: 25-Sep-2023
https://doi.org/10.1109/ACSOS-C58168.2023.00021

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cover image ACM Conferences

PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You

July 2022

455 pages

ISBN:9781450391610

DOI:10.1145/3491418

Editors:
Julie Wernert
Indiana University
,
Alan Chalker
Ohio Supercomputer Center
,
Shava Smallen
San Diego Supercomputer Center, University of California, San Diego
,
Tabitha Samuel
University of Tennessee, Knoxville
,
JP Navarro
Argonne National Laboratory

Copyright © 2022 ACM.

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Published: 08 July 2022

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July 10 - 14, 2022

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Cited By

Rakshit AReddy SRamnath RArora ABoubin J(2024)Righteous: Automatic Right-Sizing for Complex Edge Deployments2024 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC62691.2024.00010(15-28)Online publication date: 4-Dec-2024
https://doi.org/10.1109/SEC62691.2024.00010
Hamid O(2023)Data-Centric and Model-Centric AI: Twin Drivers of Compact and Robust Industry 4.0 SolutionsApplied Sciences10.3390/app1305275313:5(2753)Online publication date: 21-Feb-2023
https://doi.org/10.3390/app13052753
Nezami ZPournaras EBorzouie AXu J(2023)SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C58168.2023.00021(1-7)Online publication date: 25-Sep-2023
https://doi.org/10.1109/ACSOS-C58168.2023.00021

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