東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Data Management Considerations in the Design of Internet of Things Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data Management Considerations in the Design of Internet of Things Applications./
作者:	Sikwela, J. G.
面頁冊數:	1 online resource (61 pages)
附註:	Source: Masters Abstracts International, Volume: 82-11.
Contained By:	Masters Abstracts International82-11.
標題:	Data processing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28279393click for full text (PQDT)
ISBN:	9798708760753

Data Management Considerations in the Design of Internet of Things Applications.
Sikwela, J. G.

Data Management Considerations in the Design of Internet of Things Applications. - 1 online resource (61 pages)

Source: Masters Abstracts International, Volume: 82-11.

Thesis (M.E.)--University of Johannesburg (South Africa), 2020.

Includes bibliographical references

In the last decade, there has been an increase in the number of IoT devices and applications. It is estimated that by 2020 more than 2 billion devices will be connected to the internet. With the increase in the number of devices, more data will be transferred to the servers. These huge amounts of data will require extraction, processing, and storage for future use. The current data management solutions cannot accommodate the increase in the data generated by these devices.The purpose of this work is to do research on data management considerations in IoT by asking the question of how we can design IoT networks that take into consideration data management and what solutions are available to address this increase in data. The aim of the research is to identify the key principles of data management, investigate techniques that can be used for data management, investigate the best possible frameworks that can be used for data management in IoT, and investigate data storage systems that would be suitable for use in IoT applications. The scope of the research is to study peer-reviewed articles on IoT and data management. This includes studying the different frameworks that exist currently, identifying their limitations and doing an analysis based on IoT design primitives to find a framework that attempts to meet all the desired requirements for an IoT data management framework.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798708760753Subjects--Topical Terms:

680224
Data processing.
Subjects--Index Terms:

Cloud computingIndex Terms--Genre/Form:

542853
Electronic books.

Data Management Considerations in the Design of Internet of Things Applications.
LDR:02662nmm a2200349K 4500 001 2353311
005 20230306113758.5
006 m o d
007 cr mn ---uuuuu
008 241011s2020 xx obm 000 0 eng d
020 $a 9798708760753
035 $a (MiAaPQ)AAI28279393
035 $a (MiAaPQ)Johannesburg35393
035 $a AAI28279393
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Sikwela, J. G. $3 3693653
245 1 0 $a Data Management Considerations in the Design of Internet of Things Applications.
264 0 $c 2020
300 $a 1 online resource (61 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 82-11.
500 $a Advisor: Swart, Theo G.
502 $a Thesis (M.E.)--University of Johannesburg (South Africa), 2020.
504 $a Includes bibliographical references
520 $a In the last decade, there has been an increase in the number of IoT devices and applications. It is estimated that by 2020 more than 2 billion devices will be connected to the internet. With the increase in the number of devices, more data will be transferred to the servers. These huge amounts of data will require extraction, processing, and storage for future use. The current data management solutions cannot accommodate the increase in the data generated by these devices.The purpose of this work is to do research on data management considerations in IoT by asking the question of how we can design IoT networks that take into consideration data management and what solutions are available to address this increase in data. The aim of the research is to identify the key principles of data management, investigate techniques that can be used for data management, investigate the best possible frameworks that can be used for data management in IoT, and investigate data storage systems that would be suitable for use in IoT applications. The scope of the research is to study peer-reviewed articles on IoT and data management. This includes studying the different frameworks that exist currently, identifying their limitations and doing an analysis based on IoT design primitives to find a framework that attempts to meet all the desired requirements for an IoT data management framework.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Data processing. $3 680224
650 4 $a Internet of Things. $3 3538511
650 4 $a Communications networks. $3 3564745
650 4 $a Research methodology. $3 3559994
650 4 $a Cloud computing. $3 1016782
650 4 $a Servers. $3 3220915
650 4 $a Management. $3 516664
653 $a Cloud computing
653 $a Data processing
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0454
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Johannesburg (South Africa). $3 3555351
773 0 $t Masters Abstracts International $g 82-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28279393 $z click for full text (PQDT)