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Evaluating IoT service composition mechanisms for the scalability of IoT systems

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Evaluating IoT service composition mechanisms for the scalability of IoT systems. / Arellanes, Damian; Lau, Kung-Kiu.
In: Future Generation Computer Systems, Vol. 108, 01.07.2020, p. 827-848.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Arellanes, D & Lau, K-K 2020, 'Evaluating IoT service composition mechanisms for the scalability of IoT systems', Future Generation Computer Systems, vol. 108, pp. 827-848. https://doi.org/10.1016/j.future.2020.02.073

APA

Arellanes, D., & Lau, K-K. (2020). Evaluating IoT service composition mechanisms for the scalability of IoT systems. Future Generation Computer Systems, 108, 827-848. https://doi.org/10.1016/j.future.2020.02.073

Vancouver

Arellanes D, Lau K-K. Evaluating IoT service composition mechanisms for the scalability of IoT systems. Future Generation Computer Systems. 2020 Jul 1;108:827-848. Epub 2020 Mar 12. doi: 10.1016/j.future.2020.02.073

Author

Arellanes, Damian ; Lau, Kung-Kiu. / Evaluating IoT service composition mechanisms for the scalability of IoT systems. In: Future Generation Computer Systems. 2020 ; Vol. 108. pp. 827-848.

Bibtex

@article{ce2096bf85f24e3599693fdba34b4558,
title = "Evaluating IoT service composition mechanisms for the scalability of IoT systems",
abstract = "The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual)thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.",
author = "Damian Arellanes and Kung-Kiu Lau",
year = "2020",
month = jul,
day = "1",
doi = "10.1016/j.future.2020.02.073",
language = "English",
volume = "108",
pages = "827--848",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Evaluating IoT service composition mechanisms for the scalability of IoT systems

AU - Arellanes, Damian

AU - Lau, Kung-Kiu

PY - 2020/7/1

Y1 - 2020/7/1

N2 - The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual)thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.

AB - The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual)thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.

U2 - 10.1016/j.future.2020.02.073

DO - 10.1016/j.future.2020.02.073

M3 - Journal article

VL - 108

SP - 827

EP - 848

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

SN - 0167-739X

ER -