On evaluating IoTivity cloud platform

Thien Binh Dang; Manh Hung Tran; Duc Tai Le; Hyunseung Choo

doi:10.1007/978-3-319-62404-4_10

On evaluating IoTivity cloud platform

Thien Binh Dang
, Manh Hung Tran
, Duc Tai Le
, Hyunseung Choo

Department of Computer Science and Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
Editors	Ana Maria A.C. Rocha, Elena Stankova, Sanjay Misra, Giuseppe Borruso, Alfredo Cuzzocrea, David Taniar, Osvaldo Gervasi, Beniamino Murgante, Carmelo M. Torre, Bernady O. Apduhan
Publisher	Springer Verlag
Pages	137-147
Number of pages	11
ISBN (Print)	9783319624037
DOIs	https://doi.org/10.1007/978-3-319-62404-4_10
State	Published - 2017
Event	17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy Duration: 3 Jul 2017 → 6 Jul 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10408 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Computational Science and Its Applications, ICCSA 2017
Country/Territory	Italy
City	Trieste
Period	3/07/17 → 6/07/17

Keywords

Internet of Things
Message queue
Monitoring platform
Performance evaluation
Publish-subscribe pattern

Access to Document

10.1007/978-3-319-62404-4_10

Cite this

Dang, T. B., Tran, M. H., Le, D. T., & Choo, H. (2017). On evaluating IoTivity cloud platform. In A. M. A. C. Rocha, E. Stankova, S. Misra, G. Borruso, A. Cuzzocrea, D. Taniar, O. Gervasi, B. Murgante, C. M. Torre, & B. O. Apduhan (Eds.), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017 (pp. 137-147). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10408 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-62404-4_10

Dang, Thien Binh ; Tran, Manh Hung ; Le, Duc Tai et al. / On evaluating IoTivity cloud platform. Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. editor / Ana Maria A.C. Rocha ; Elena Stankova ; Sanjay Misra ; Giuseppe Borruso ; Alfredo Cuzzocrea ; David Taniar ; Osvaldo Gervasi ; Beniamino Murgante ; Carmelo M. Torre ; Bernady O. Apduhan. Springer Verlag, 2017. pp. 137-147 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.",

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author = "Dang, \{Thien Binh\} and Tran, \{Manh Hung\} and Le, \{Duc Tai\} and Hyunseung Choo",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Rocha, \{Ana Maria A.C.\} and Elena Stankova and Sanjay Misra and Giuseppe Borruso and Alfredo Cuzzocrea and David Taniar and Osvaldo Gervasi and Beniamino Murgante and Torre, \{Carmelo M.\} and Apduhan, \{Bernady O.\}",

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Dang, TB, Tran, MH, Le, DT & Choo, H 2017, On evaluating IoTivity cloud platform. in AMAC Rocha, E Stankova, S Misra, G Borruso, A Cuzzocrea, D Taniar, O Gervasi, B Murgante, CM Torre & BO Apduhan (eds), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10408 LNCS, Springer Verlag, pp. 137-147, 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italy, 3/07/17. https://doi.org/10.1007/978-3-319-62404-4_10

On evaluating IoTivity cloud platform. / Dang, Thien Binh; Tran, Manh Hung; Le, Duc Tai et al.
Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. ed. / Ana Maria A.C. Rocha; Elena Stankova; Sanjay Misra; Giuseppe Borruso; Alfredo Cuzzocrea; David Taniar; Osvaldo Gervasi; Beniamino Murgante; Carmelo M. Torre; Bernady O. Apduhan. Springer Verlag, 2017. p. 137-147 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10408 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On evaluating IoTivity cloud platform

AU - Dang, Thien Binh

AU - Tran, Manh Hung

AU - Le, Duc Tai

AU - Choo, Hyunseung

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.

AB - Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.

KW - Internet of Things

KW - Message queue

KW - Monitoring platform

KW - Performance evaluation

KW - Publish-subscribe pattern

UR - https://www.scopus.com/pages/publications/85026732653

U2 - 10.1007/978-3-319-62404-4_10

DO - 10.1007/978-3-319-62404-4_10

M3 - Conference contribution

AN - SCOPUS:85026732653

SN - 9783319624037

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 137

EP - 147

BT - Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017

A2 - Rocha, Ana Maria A.C.

A2 - Stankova, Elena

A2 - Misra, Sanjay

A2 - Borruso, Giuseppe

A2 - Cuzzocrea, Alfredo

A2 - Taniar, David

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Torre, Carmelo M.

A2 - Apduhan, Bernady O.

PB - Springer Verlag

T2 - 17th International Conference on Computational Science and Its Applications, ICCSA 2017

Y2 - 3 July 2017 through 6 July 2017

ER -

Dang TB, Tran MH, Le DT, Choo H. On evaluating IoTivity cloud platform. In Rocha AMAC, Stankova E, Misra S, Borruso G, Cuzzocrea A, Taniar D, Gervasi O, Murgante B, Torre CM, Apduhan BO, editors, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Springer Verlag. 2017. p. 137-147. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62404-4_10

On evaluating IoTivity cloud platform

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Keywords

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