A Workload Characterization for the Internet of Medical Things (IoMT)

Ankur Limaye; Tosiron Adegbija

doi:10.1109/ISVLSI.2017.60

A Workload Characterization for the Internet of Medical Things (IoMT)

Ankur Limaye, Tosiron Adegbija

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Scopus citations

Abstract

We perform an extensive study of medical applications that will potentially execute on the Internet of Medical Things (IoMT), from an edge computing perspective. Using this study, we perform a workload characterization of potential IoMT applications and explore the microarchitecture implications of these applications. Our study includes workloads spanning a variety of medical applications including medical image processing algorithms, inverse Radon transform, and implantable heart monitors. We compare these workloads' characteristics to an existing embedded systems benchmark suite, MiBench, to reveal their differences and similarities. The analysis presented herein will enable the study and design of right-provisioned microprocessors for the IoMT, and provide a framework for studying the execution characteristics of workloads in other emerging Internet of Things application domains.

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Editors	Ricardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
Publisher	IEEE Computer Society
Pages	302-307
Number of pages	6
ISBN (Electronic)	9781509067626
DOIs	https://doi.org/10.1109/ISVLSI.2017.60
State	Published - Jul 20 2017
Externally published	Yes
Event	2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 - Bochum, North Rhine-Westfalia, Germany Duration: Jul 3 2017 → Jul 5 2017

Publication series

Name	Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume	2017-July
ISSN (Print)	2159-3469
ISSN (Electronic)	2159-3477

Conference

Conference	2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Country/Territory	Germany
City	Bochum, North Rhine-Westfalia
Period	7/3/17 → 7/5/17

Keywords

Internet of Medical Things
Internet of Things
edge computing
healthcare
low-power embedded systems
medical devices
right-provisioned microprocessors
workload characterization

ASJC Scopus subject areas

Hardware and Architecture
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ISVLSI.2017.60

Cite this

Limaye, A., & Adegbija, T. (2017). A Workload Characterization for the Internet of Medical Things (IoMT). In R. Reis, M. Stan, M. Huebner, & N. Voros (Eds.), Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 (pp. 302-307). Article 7987536 (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; Vol. 2017-July). IEEE Computer Society. https://doi.org/10.1109/ISVLSI.2017.60

A Workload Characterization for the Internet of Medical Things (IoMT). / Limaye, Ankur; Adegbija, Tosiron.
Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017. ed. / Ricardo Reis; Mircea Stan; Michael Huebner; Nikolaos Voros. IEEE Computer Society, 2017. p. 302-307 7987536 (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; Vol. 2017-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Limaye, A & Adegbija, T 2017, A Workload Characterization for the Internet of Medical Things (IoMT). in R Reis, M Stan, M Huebner & N Voros (eds), Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017., 7987536, Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, vol. 2017-July, IEEE Computer Society, pp. 302-307, 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017, Bochum, North Rhine-Westfalia, Germany, 7/3/17. https://doi.org/10.1109/ISVLSI.2017.60

Limaye A, Adegbija T. A Workload Characterization for the Internet of Medical Things (IoMT). In Reis R, Stan M, Huebner M, Voros N, editors, Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017. IEEE Computer Society. 2017. p. 302-307. 7987536. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI). doi: 10.1109/ISVLSI.2017.60

Limaye, Ankur ; Adegbija, Tosiron. / A Workload Characterization for the Internet of Medical Things (IoMT). Proceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017. editor / Ricardo Reis ; Mircea Stan ; Michael Huebner ; Nikolaos Voros. IEEE Computer Society, 2017. pp. 302-307 (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI).

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A Workload Characterization for the Internet of Medical Things (IoMT)

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Keywords

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