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Fog at the Edge: experiences building an Edge computing platform

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published

Standard

Fog at the Edge : experiences building an Edge computing platform. / Giang, Nam; Lea, Rodger James.

2018 IEEE International Conference on Edge Computing (EDGE). IEEE, 2018.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Giang, N & Lea, RJ 2018, Fog at the Edge: experiences building an Edge computing platform. in 2018 IEEE International Conference on Edge Computing (EDGE). IEEE.

APA

Giang, N., & Lea, R. J. (2018). Fog at the Edge: experiences building an Edge computing platform. In 2018 IEEE International Conference on Edge Computing (EDGE) IEEE.

Vancouver

Giang N, Lea RJ. Fog at the Edge: experiences building an Edge computing platform. In 2018 IEEE International Conference on Edge Computing (EDGE). IEEE. 2018

Author

Giang, Nam ; Lea, Rodger James. / Fog at the Edge : experiences building an Edge computing platform. 2018 IEEE International Conference on Edge Computing (EDGE). IEEE, 2018.

Bibtex

@inproceedings{ad5cbf5749704a5ab0ac97545a3363b1,
title = "Fog at the Edge: experiences building an Edge computing platform",
abstract = "Technology advancement has pushed computation to the network edge, paving the way for a class of IoT applications that leverage CPU, storage and communications in edge devices. Building these new IoT applications is not an easy task however. Two key challenges include: supporting the dynamic nature of the edge network and the context-dependent characteristics of application logic. In this paper we report our experience in building an edge computing platform that uses a distributed data flow programming model based on the popular open source Node-RED tool. We describe some of the challenges we faced as well as some novel solutions that were implemented in our platform. A new approach in applying the concept of exogenous coordination is also presented and shown to be necessary in building large scale IoT applications across the edge, fog and cloud.",
author = "Nam Giang and Lea, {Rodger James}",
note = "{\circledC}2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2018",
month = "7",
day = "2",
language = "English",
booktitle = "2018 IEEE International Conference on Edge Computing (EDGE)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Fog at the Edge

T2 - experiences building an Edge computing platform

AU - Giang, Nam

AU - Lea, Rodger James

N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Technology advancement has pushed computation to the network edge, paving the way for a class of IoT applications that leverage CPU, storage and communications in edge devices. Building these new IoT applications is not an easy task however. Two key challenges include: supporting the dynamic nature of the edge network and the context-dependent characteristics of application logic. In this paper we report our experience in building an edge computing platform that uses a distributed data flow programming model based on the popular open source Node-RED tool. We describe some of the challenges we faced as well as some novel solutions that were implemented in our platform. A new approach in applying the concept of exogenous coordination is also presented and shown to be necessary in building large scale IoT applications across the edge, fog and cloud.

AB - Technology advancement has pushed computation to the network edge, paving the way for a class of IoT applications that leverage CPU, storage and communications in edge devices. Building these new IoT applications is not an easy task however. Two key challenges include: supporting the dynamic nature of the edge network and the context-dependent characteristics of application logic. In this paper we report our experience in building an edge computing platform that uses a distributed data flow programming model based on the popular open source Node-RED tool. We describe some of the challenges we faced as well as some novel solutions that were implemented in our platform. A new approach in applying the concept of exogenous coordination is also presented and shown to be necessary in building large scale IoT applications across the edge, fog and cloud.

M3 - Conference contribution/Paper

BT - 2018 IEEE International Conference on Edge Computing (EDGE)

PB - IEEE

ER -