ERGO: A Scalable Edge Computing Architecture for Infrastructureless Agricultural Internet of Things

Deepak Nadig, Sara El Alaoui, Byrav Ramamurthy, Santosh Pitla
July 2021
Cite DOI URL

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.

Type
Conference paper
Publication
2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
Computer Architecture Throughput Edge-Computing Internet of Things Machine Learning Cloud Computing Metropolitan Area Networks Application Program Interfaces Performance Evaluation Agriculture Ag-IoT Ag-IoT Application Ag-IoT Systems APIs Cloud-Backed Assistance Edge-Computing Architecture ERGO Infrastructure Smart Agriculture Environments Infrastructureless Infrastructureless Agricultural Internet of Things Instruments Microservice Infrastructure Scalable Edge Computing Architecture
Byrav Ramamurthy
Byrav Ramamurthy
Professor & PI

My research areas include optical and wireless networks, peer-to-peer networks for multimedia streaming, network security and telecommunications. My research work is supported by the U.S. National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, NASA, AT&T Corporation, Agilent Tech., Ciena, HP and OPNET Inc.