short-paper

Proposed Architecture to manage critical states predictions in IoT applications

Authors:

Catalin Cerbulescu,

Claudia Monica CerbulescuAuthors Info & Claims

BCI '17: Proceedings of the 8th Balkan Conference in Informatics

Article No.: 17, Pages 1 - 4

https://doi.org/10.1145/3136273.3136279

Published: 20 September 2017 Publication History

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Abstract

In IoT applications, data from various sensors are processed and delivered in different structures and formats (JSON, XML, CSV etc) so a noSQL database is a good approach for a persistence layer. Analyzing sensors data evolutions could predict critical states in a system (infarction, stoke, hyperglycemic coma). The data analysis in noSQL databases is time-consuming and not effective in real time decision. This paper present a new layer as a persistence layer wrapper which will separate sensor data into two DBMS focused on different performances and purposes. All data will be stored in a noSQL database. Data used for critical states predictions will be selected and stored in a fast, SQL DBMS and adequate algorithms will be used to manage them.

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Cited By

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Cerbulescu CMarian MGanea ECerbulescu C(2022)Optimize Critical Data Pattern Detection In Systems With Real Time Decisions2022 23rd International Carpathian Control Conference (ICCC)10.1109/ICCC54292.2022.9805932(324-330)Online publication date: 29-May-2022
https://doi.org/10.1109/ICCC54292.2022.9805932
Cerbulescu CMarian MGanea E(2021)IoT Big Data Management for Improved Response Time2021 22nd International Carpathian Control Conference (ICCC)10.1109/ICCC51557.2021.9454644(1-6)Online publication date: 31-May-2021
https://doi.org/10.1109/ICCC51557.2021.9454644

Index Terms

Proposed Architecture to manage critical states predictions in IoT applications
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Client-server architectures
  2. Embedded and cyber-physical systems
    1. Sensor networks

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Information

Published In

BCI '17: Proceedings of the 8th Balkan Conference in Informatics

September 2017

181 pages

ISBN:9781450352857

DOI:10.1145/3136273

General Chair:
Katerina Zdravkova,
Program Chairs:
George Eleftherakis,
Petros Kefalas

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2017

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Short-paper
Research
Refereed limited

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BCI '17

BCI '17: 8th Balkan Conference in Informatics

September 20 - 23, 2017

Skopje, Macedonia

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Overall Acceptance Rate 97 of 250 submissions, 39%

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Cited By

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Cerbulescu CMarian MGanea ECerbulescu C(2022)Optimize Critical Data Pattern Detection In Systems With Real Time Decisions2022 23rd International Carpathian Control Conference (ICCC)10.1109/ICCC54292.2022.9805932(324-330)Online publication date: 29-May-2022
https://doi.org/10.1109/ICCC54292.2022.9805932
Cerbulescu CMarian MGanea E(2021)IoT Big Data Management for Improved Response Time2021 22nd International Carpathian Control Conference (ICCC)10.1109/ICCC51557.2021.9454644(1-6)Online publication date: 31-May-2021
https://doi.org/10.1109/ICCC51557.2021.9454644

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Recommendations

Cloud Databases for Internet-of-Things Data

SQLtoKeyNoSQL: a layer for relational to key-based NoSQL database mapping

Comparing NoSQL MongoDB to an SQL DB