Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Application of Time Series Database for IoT Smart City Platform

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU148327" target="_blank" >RIV/00216305:26230/23:PU148327 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ieeexplore.ieee.org/document/10146237" target="_blank" >https://ieeexplore.ieee.org/document/10146237</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP58044.2023.10146237" target="_blank" >10.1109/SCSP58044.2023.10146237</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Application of Time Series Database for IoT Smart City Platform

  • Popis výsledku v původním jazyce

    IoT devices are becoming more prevalent yearly due to their relatively low cost and high maintainability. Their use cases are often varied-from industry (e.g., devices intended for quality control) to their application in smart cities, where they can help supervise day-to-day operations. With the increase in popularity comes the need to effectively store, query and process the data produced by such devices. This problem can seem relatively easy at first glance, but often, the solutions are not as straightforward. In real-world applications, multiple device types are needed to accomplish each task. This typically results in large streams of incoming data, each with its own structure and data representation. Due to the large amounts of devices, it may be necessary to distribute the workload or use serverless computing to tackle fluctuations in incoming requests. This paper provides a study of some options that can be used to achieve this goal, focusing on the efficiency and ease of use of both SQL and NoSQL databases currently available regarding deployment on both local devices and serverless functions like AWS Lambda. Document or relational databases are often used to store data from such devices. However, features of Time Series databases could be used to improve the entire system's performance and reduce storage requirements. One of the systems that could benefit from this improvement is a Smart City system developed by Logimic.  The cost of the proposed smart city platform is essential because a high running cost can result in the system being more expensive than the cost reduction from using efficient IoT devices.

  • Název v anglickém jazyce

    Application of Time Series Database for IoT Smart City Platform

  • Popis výsledku anglicky

    IoT devices are becoming more prevalent yearly due to their relatively low cost and high maintainability. Their use cases are often varied-from industry (e.g., devices intended for quality control) to their application in smart cities, where they can help supervise day-to-day operations. With the increase in popularity comes the need to effectively store, query and process the data produced by such devices. This problem can seem relatively easy at first glance, but often, the solutions are not as straightforward. In real-world applications, multiple device types are needed to accomplish each task. This typically results in large streams of incoming data, each with its own structure and data representation. Due to the large amounts of devices, it may be necessary to distribute the workload or use serverless computing to tackle fluctuations in incoming requests. This paper provides a study of some options that can be used to achieve this goal, focusing on the efficiency and ease of use of both SQL and NoSQL databases currently available regarding deployment on both local devices and serverless functions like AWS Lambda. Document or relational databases are often used to store data from such devices. However, features of Time Series databases could be used to improve the entire system's performance and reduce storage requirements. One of the systems that could benefit from this improvement is a Smart City system developed by Logimic.  The cost of the proposed smart city platform is essential because a high running cost can result in the system being more expensive than the cost reduction from using efficient IoT devices.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    IEEE Xplore

  • ISBN

    979-8-3503-2162-3

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    6

  • Strana od-do

    1-6

  • Název nakladatele

    Institute of Electrical and Electronics Engineers

  • Místo vydání

    Prague

  • Místo konání akce

    Praha

  • Datum konání akce

    25. 5. 2023

  • Typ akce podle státní příslušnosti

    EUR - Evropská akce

  • Kód UT WoS článku