2021
1.
Nadig, Deepak; Alaoui, Sara El; Ramamurthy, Byrav; Pitla, Santosh
ERGO: A Scalable Edge Computing Architecture for Infrastructureless Agricultural Internet of Things Proceedings Article
In: 2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), pp. 1–2, 2021, (ISSN: 1944-0375).
Abstract | BibTeX | Tags: Ag-IoT, cloud computing, Computer architecture, Edge Computing, Infrastructureless, Instruments, machine learning, Metropolitan area networks, Performance evaluation, Throughput | Links:
@inproceedings{nadig_ergo_2021,
title = {ERGO: A Scalable Edge Computing Architecture for Infrastructureless Agricultural Internet of Things},
author = {Deepak Nadig and Sara El Alaoui and Byrav Ramamurthy and Santosh Pitla},
url = {https://deepaknadig.com/wp-content/uploads/2021/09/Nadig-et-al.-2021-ERGO-A-Scalable-Edge-Computing-Architecture-for-I.pdf},
doi = {10.1109/LANMAN52105.2021.9478811},
year = {2021},
date = {2021-07-01},
urldate = {2021-07-01},
booktitle = {2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)},
pages = {1--2},
abstract = {In this paper, we propose ERGO (edge architecture for Ag-IoT), an edge-computing architecture for infrastructureless smart agriculture environments. We also develop Ag-IoT application APIs and the associated microservice infrastructure. Our implementation and evaluations show that ERGO can operate independently of cloud-backed assistance, is highly scalable, modular, and affords composability benefits to Ag-IoT systems. We also demonstrate that ERGO outperforms traditional infrastructure in response latencies and transactional throughput, on average, by over 54% and 77%, respectively.},
note = {ISSN: 1944-0375},
keywords = {Ag-IoT, cloud computing, Computer architecture, Edge Computing, Infrastructureless, Instruments, machine learning, Metropolitan area networks, Performance evaluation, Throughput},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we propose ERGO (edge architecture for Ag-IoT), an edge-computing architecture for infrastructureless smart agriculture environments. We also develop Ag-IoT application APIs and the associated microservice infrastructure. Our implementation and evaluations show that ERGO can operate independently of cloud-backed assistance, is highly scalable, modular, and affords composability benefits to Ag-IoT systems. We also demonstrate that ERGO outperforms traditional infrastructure in response latencies and transactional throughput, on average, by over 54% and 77%, respectively.