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EdgeDroid: An Experimental Approach to Benchmarking Human-in-the-Loop Applications
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-3383-2335
Carnegie Mellon University. (Elijah Group)ORCID iD: 0000-0001-9484-8501
Carnegie Mellon University. (Elijah Group)ORCID iD: 0000-0002-2187-2049
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6682-6559
2019 (English)In: Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications (HotMobile '19), Association for Computing Machinery (ACM), 2019Conference paper, Published paper (Refereed)
Abstract [en]

Many emerging mobile applications, including augmented reality (AR) and wearable cognitive assistance (WCA), aim to provide seamless user interaction. However, the complexity of benchmarking these human-in-the-loop applications limits reproducibility and makes performance evaluation difficult. In this paper, we present EdgeDroid, a benchmarking suite designed to reproducibly evaluate these applications.Our core idea rests on recording traces of user interaction, which are then replayed at benchmarking time in a controlled fashion based on an underlying model of human behavior. This allows for an automated system that greatly simplifies benchmarking large scale scenarios and stress testing the application.Our results show the benefits of EdgeDroid as a tool for both system designers and application developers.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019.
Keywords [en]
Human-in-the-Loop, Edge Computing, Cognitive Assistance, Benchmarking, Cloudlet
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-241433DOI: 10.1145/3301293.3302353ISI: 000473097800017Scopus ID: 2-s2.0-85062861413ISBN: 978-1-4503-6273-3 (electronic)OAI: oai:DiVA.org:kth-241433DiVA, id: diva2:1281024
Conference
The 20th International Workshop on Mobile Computing Systems and Applications (HotMobile '19)
Note

QC 20190121

Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-07-30Bibliographically approved

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fulltext(664 kB)138 downloads
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Gross, James

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