Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment

Martina De Sanctis; Ludovico Iovino; Maria Teresa Rossi; Manuel Wimmer

doi:10.1007/978-3-030-91431-8_43

Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment

Martina De Sanctis
, Ludovico Iovino
, Maria Teresa Rossi
, Manuel Wimmer

Institut für Wirtschaftsinformatik - Software Engineering

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

The automatic Key Performance Indicators (KPIs) assessment for smart cities is challenging, since the input parameters needed for the KPIs calculations are highly dynamic and change with different frequencies. Moreover, they are provided by heterogeneous data sources (e.g., IoT infrastructures, Web Services, open repositories), with different access protocol. Open services are widely adopted in this area on top of open data, IoT, and cloud services. However, KPIs assessment frameworks based on smart city models are currently decoupled from open services. This limits the possibility of having runtime up-to-date data for KPIs assessment and synchronized reports. Thus, this paper presents a generic service-oriented middleware that connects open services and runtime models, applied to a model-based KPIs assessment framework for smart cities. It enables a continuous monitoring of the KPIs’ input parameters provided by open services, automating the data acquisition process and the continuous KPIs evaluation. Experiment shows how the evolved framework enables a continuous KPIs evaluation, by drastically decreasing (∼88%) the latency compared to its baseline.

Originalsprache	Englisch
Titel	ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021
Herausgeber*innen	Hakim Hacid, Odej Kao, Massimo Mecella, Naouel Moha, Hye-young Paik
Seiten	672-681
Seitenumfang	10
Band	13121
DOIs	https://doi.org/10.1007/978-3-030-91431-8_43
Publikationsstatus	Veröffentlicht - Nov. 2021

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	13121 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 11 – Nachhaltige Städte und Gemeinschaften

Wissenschaftszweige

202017 Embedded Systems
102002 Augmented Reality
102006 Computer Supported Cooperative Work (CSCW)
102015 Informationssysteme
102020 Medizinische Informatik
102022 Softwareentwicklung
102034 Cyber-Physical Systems
201132 Computational Engineering
201305 Verkehrstechnik
207409 Navigationssysteme
502032 Qualitätsmanagement
502050 Wirtschaftsinformatik
503015 Fachdidaktik Technische Wissenschaften

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1007/978-3-030-91431-8_43

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Forscher*in), Gemeinhardt, F. (Forscher*in), Govindasami, H. S. (Forscher*in), Jayaraman, R. (Forscher*in), Mitter, A. (Forscher*in), Sindelar, R. (Forscher*in), Sint, S. (Forscher*in), Taspinar, B. (Forscher*in) & Wimmer, M. (Projektleiter*in)
01.01.2017 → 31.12.2023
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft

Dieses zitieren

De Sanctis, M., Iovino, L., Rossi, M. T., & Wimmer, M. (2021). Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment. in H. Hacid, O. Kao, M. Mecella, N. Moha, & H. Paik (Hrsg.), ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021 (Band 13121, S. 672-681). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13121 LNCS). https://doi.org/10.1007/978-3-030-91431-8_43

De Sanctis, Martina ; Iovino, Ludovico ; Rossi, Maria Teresa et al. / Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment. ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021. Hrsg. / Hakim Hacid ; Odej Kao ; Massimo Mecella ; Naouel Moha ; Hye-young Paik. Band 13121 2021. S. 672-681 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5af7c79ae4584ea7b0441bcc9dfd620d,

title = "Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment",

abstract = "The automatic Key Performance Indicators (KPIs) assessment for smart cities is challenging, since the input parameters needed for the KPIs calculations are highly dynamic and change with different frequencies. Moreover, they are provided by heterogeneous data sources (e.g., IoT infrastructures, Web Services, open repositories), with different access protocol. Open services are widely adopted in this area on top of open data, IoT, and cloud services. However, KPIs assessment frameworks based on smart city models are currently decoupled from open services. This limits the possibility of having runtime up-to-date data for KPIs assessment and synchronized reports. Thus, this paper presents a generic service-oriented middleware that connects open services and runtime models, applied to a model-based KPIs assessment framework for smart cities. It enables a continuous monitoring of the KPIs{\textquoteright} input parameters provided by open services, automating the data acquisition process and the continuous KPIs evaluation. Experiment shows how the evolved framework enables a continuous KPIs evaluation, by drastically decreasing (∼88\%) the latency compared to its baseline.",

author = "\{De Sanctis\}, Martina and Ludovico Iovino and Rossi, \{Maria Teresa\} and Manuel Wimmer",

year = "2021",

month = nov,

doi = "10.1007/978-3-030-91431-8\_43",

language = "English",

isbn = "978-3-030-91430-1",

volume = "13121",

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

pages = "672--681",

editor = "Hakim Hacid and Odej Kao and Massimo Mecella and Naouel Moha and Hye-young Paik",

booktitle = "ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021",

}

De Sanctis, M, Iovino, L, Rossi, MT & Wimmer, M 2021, Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment. in H Hacid, O Kao, M Mecella, N Moha & H Paik (Hrsg.), ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021. Bd. 13121, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 13121 LNCS, S. 672-681. https://doi.org/10.1007/978-3-030-91431-8_43

Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment. / De Sanctis, Martina; Iovino, Ludovico; Rossi, Maria Teresa et al.
ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021. Hrsg. / Hakim Hacid; Odej Kao; Massimo Mecella; Naouel Moha; Hye-young Paik. Band 13121 2021. S. 672-681 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13121 LNCS).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment

AU - De Sanctis, Martina

AU - Iovino, Ludovico

AU - Rossi, Maria Teresa

AU - Wimmer, Manuel

PY - 2021/11

Y1 - 2021/11

N2 - The automatic Key Performance Indicators (KPIs) assessment for smart cities is challenging, since the input parameters needed for the KPIs calculations are highly dynamic and change with different frequencies. Moreover, they are provided by heterogeneous data sources (e.g., IoT infrastructures, Web Services, open repositories), with different access protocol. Open services are widely adopted in this area on top of open data, IoT, and cloud services. However, KPIs assessment frameworks based on smart city models are currently decoupled from open services. This limits the possibility of having runtime up-to-date data for KPIs assessment and synchronized reports. Thus, this paper presents a generic service-oriented middleware that connects open services and runtime models, applied to a model-based KPIs assessment framework for smart cities. It enables a continuous monitoring of the KPIs’ input parameters provided by open services, automating the data acquisition process and the continuous KPIs evaluation. Experiment shows how the evolved framework enables a continuous KPIs evaluation, by drastically decreasing (∼88%) the latency compared to its baseline.

AB - The automatic Key Performance Indicators (KPIs) assessment for smart cities is challenging, since the input parameters needed for the KPIs calculations are highly dynamic and change with different frequencies. Moreover, they are provided by heterogeneous data sources (e.g., IoT infrastructures, Web Services, open repositories), with different access protocol. Open services are widely adopted in this area on top of open data, IoT, and cloud services. However, KPIs assessment frameworks based on smart city models are currently decoupled from open services. This limits the possibility of having runtime up-to-date data for KPIs assessment and synchronized reports. Thus, this paper presents a generic service-oriented middleware that connects open services and runtime models, applied to a model-based KPIs assessment framework for smart cities. It enables a continuous monitoring of the KPIs’ input parameters provided by open services, automating the data acquisition process and the continuous KPIs evaluation. Experiment shows how the evolved framework enables a continuous KPIs evaluation, by drastically decreasing (∼88%) the latency compared to its baseline.

UR - https://www.scopus.com/pages/publications/85120528046

U2 - 10.1007/978-3-030-91431-8_43

DO - 10.1007/978-3-030-91431-8_43

M3 - Conference proceedings

SN - 978-3-030-91430-1

VL - 13121

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

SP - 672

EP - 681

BT - ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021

A2 - Hacid, Hakim

A2 - Kao, Odej

A2 - Mecella, Massimo

A2 - Moha, Naouel

A2 - Paik, Hye-young

ER -

De Sanctis M, Iovino L, Rossi MT, Wimmer M. Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment. in Hacid H, Kao O, Mecella M, Moha N, Paik H, Hrsg., ICSOC 2021 - The 19th International Conference on Service-Oriented Computing, November 22-25, 2021. Band 13121. 2021. S. 672-681. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-91431-8_43

Weaving Open Services with Runtime Models for Continuous Smart Cities KPIs Assessment

Abstract

Publikationsreihe

UN SDGs

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Christian Doppler Laboratory for Model-Integrated Smart Production

Dieses zitieren