Microservice-oriented platform for internet of big data analytics; A proof of concept

Zheng Li; Diego Seco; Alexis Eloy Sánchez Rodríguez

doi:10.3390/s19051134

Microservice-oriented platform for internet of big data analytics; A proof of concept

Zheng Li^*, Diego Seco, Alexis Eloy Sánchez Rodríguez

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

17 Downloads (Pure)

Abstract

The ubiquitous Internet of Things (IoT) devices nowadays are generating various and numerous data from everywhere at any time. Since it is not always necessary to centralize and analyze IoT data cumulatively (e.g., the Monte Carlo analytics and Convergence analytics demonstrated in this article), the traditional implementations of big data analytics (BDA) will suffer from unnecessary and expensive data transmissions as a result of the tight coupling between computing resource management and data processing logics. Inspired by software-defined infrastructure (SDI), we propose the “microservice-oriented platform” to break the environmental monolith and further decouple data processing logics from their underlying resource management in order to facilitate BDA implementations in the IoT environment (which we name “IoBDA”). Given predesigned standard microservices with respect to specific data processing logics, the proposed platform is expected to largely reduce the complexity in and relieve inexperienced practices of IoBDA implementations. The potential contributions to the relevant communities include (1) new theories of a microservice-oriented platform on top of SDI and (2) a functional microservice-oriented platform for IoBDA with a group of predesigned microservices.

Original language	English
Article number	1134
Journal	Sensors (Switzerland)
Volume	19
Issue number	5
DOIs	https://doi.org/10.3390/s19051134
Publication status	Published - 06 Mar 2019
Externally published	Yes

Bibliographical note

Funding Information:
Funding: This work was supported in part by Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) under Grant FONDECYT Iniciación 11180905, in part by the University of Concepción under Grant VRID INICIACION 218.093.017-1.0 IN, and in part by Millennium Institute for Foundational Research on Data (IMFD).

Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

Big data analytics
Internet of Things
Microservice-oriented platform
Microservices architecture
Software defined infrastructure

ASJC Scopus subject areas

Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.3390/s19051134Licence: CC BY

Microservice-oriented platform for internet of big data analytics; A proof of concept
Copyright 2019 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 1.89 MBLicence: CC BY

Cite this

@article{052690dc44f3493c9eec92199ec6081c,

title = "Microservice-oriented platform for internet of big data analytics; A proof of concept",

abstract = "The ubiquitous Internet of Things (IoT) devices nowadays are generating various and numerous data from everywhere at any time. Since it is not always necessary to centralize and analyze IoT data cumulatively (e.g., the Monte Carlo analytics and Convergence analytics demonstrated in this article), the traditional implementations of big data analytics (BDA) will suffer from unnecessary and expensive data transmissions as a result of the tight coupling between computing resource management and data processing logics. Inspired by software-defined infrastructure (SDI), we propose the “microservice-oriented platform” to break the environmental monolith and further decouple data processing logics from their underlying resource management in order to facilitate BDA implementations in the IoT environment (which we name “IoBDA”). Given predesigned standard microservices with respect to specific data processing logics, the proposed platform is expected to largely reduce the complexity in and relieve inexperienced practices of IoBDA implementations. The potential contributions to the relevant communities include (1) new theories of a microservice-oriented platform on top of SDI and (2) a functional microservice-oriented platform for IoBDA with a group of predesigned microservices.",

keywords = "Big data analytics, Internet of Things, Microservice-oriented platform, Microservices architecture, Software defined infrastructure",

author = "Zheng Li and Diego Seco and Rodr{\'i}guez, {Alexis Eloy S{\'a}nchez}",

note = "Funding Information: Funding: This work was supported in part by Comisi{\'o}n Nacional de Investigaci{\'o}n Cient{\'i}fica y Tecnol{\'o}gica (CONICYT) under Grant FONDECYT Iniciaci{\'o}n 11180905, in part by the University of Concepci{\'o}n under Grant VRID INICIACION 218.093.017-1.0 IN, and in part by Millennium Institute for Foundational Research on Data (IMFD). Publisher Copyright: {\textcopyright} 2019 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2019",

month = mar,

day = "6",

doi = "10.3390/s19051134",

language = "English",

volume = "19",

journal = "Sensors (Switzerland)",

issn = "1424-8220",

publisher = "MDPI",

number = "5",

}

TY - JOUR

T1 - Microservice-oriented platform for internet of big data analytics; A proof of concept

AU - Li, Zheng

AU - Seco, Diego

AU - Rodríguez, Alexis Eloy Sánchez

N1 - Funding Information: Funding: This work was supported in part by Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) under Grant FONDECYT Iniciación 11180905, in part by the University of Concepción under Grant VRID INICIACION 218.093.017-1.0 IN, and in part by Millennium Institute for Foundational Research on Data (IMFD). Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2019/3/6

Y1 - 2019/3/6

N2 - The ubiquitous Internet of Things (IoT) devices nowadays are generating various and numerous data from everywhere at any time. Since it is not always necessary to centralize and analyze IoT data cumulatively (e.g., the Monte Carlo analytics and Convergence analytics demonstrated in this article), the traditional implementations of big data analytics (BDA) will suffer from unnecessary and expensive data transmissions as a result of the tight coupling between computing resource management and data processing logics. Inspired by software-defined infrastructure (SDI), we propose the “microservice-oriented platform” to break the environmental monolith and further decouple data processing logics from their underlying resource management in order to facilitate BDA implementations in the IoT environment (which we name “IoBDA”). Given predesigned standard microservices with respect to specific data processing logics, the proposed platform is expected to largely reduce the complexity in and relieve inexperienced practices of IoBDA implementations. The potential contributions to the relevant communities include (1) new theories of a microservice-oriented platform on top of SDI and (2) a functional microservice-oriented platform for IoBDA with a group of predesigned microservices.

AB - The ubiquitous Internet of Things (IoT) devices nowadays are generating various and numerous data from everywhere at any time. Since it is not always necessary to centralize and analyze IoT data cumulatively (e.g., the Monte Carlo analytics and Convergence analytics demonstrated in this article), the traditional implementations of big data analytics (BDA) will suffer from unnecessary and expensive data transmissions as a result of the tight coupling between computing resource management and data processing logics. Inspired by software-defined infrastructure (SDI), we propose the “microservice-oriented platform” to break the environmental monolith and further decouple data processing logics from their underlying resource management in order to facilitate BDA implementations in the IoT environment (which we name “IoBDA”). Given predesigned standard microservices with respect to specific data processing logics, the proposed platform is expected to largely reduce the complexity in and relieve inexperienced practices of IoBDA implementations. The potential contributions to the relevant communities include (1) new theories of a microservice-oriented platform on top of SDI and (2) a functional microservice-oriented platform for IoBDA with a group of predesigned microservices.

KW - Big data analytics

KW - Internet of Things

KW - Microservice-oriented platform

KW - Microservices architecture

KW - Software defined infrastructure

U2 - 10.3390/s19051134

DO - 10.3390/s19051134

M3 - Article

C2 - 30845687

AN - SCOPUS:85062617254

SN - 1424-8220

VL - 19

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

IS - 5

M1 - 1134

ER -

Microservice-oriented platform for internet of big data analytics; A proof of concept

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this