Ecosystem-based data products and DaaS: complexity analysis and design considerations

Vincent Chen; Perry Chen; Amin Beheshti

doi:10.1109/ICWS62655.2024.00018

Ecosystem-based data products and DaaS: complexity analysis and design considerations

Vincent Chen, Perry Chen^*, Amin Beheshti

^*Corresponding author for this work

School of Computing

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

Abstract

Data activities and technologies in modern organisations are becoming more diverse and complex, and continuously operate, change, and evolve as an enterprise data ecosystem (EDE). This fast-changing environment presents both challenges and opportunities for many computing and design concepts and approaches and raises the questions whether and how they can be continuously and effectively applied. This paper analyses operation features and complexity of EDE and delves into design considerations for data products and Data-as-a-Service (DaaS) to play their roles as solutions for data practice management improvement, integration, interoperability and design of services in data space.

Original language	English
Title of host publication	ICWS 2024
Subtitle of host publication	2024 IEEE International Conference on Web Services: proceedings
Editors	Rong N. Chang, Carl K. Chang, Zigui Jiang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Claudio Ardagna, Jian Yang, Jianwei Yin, Zhongjie Wang, Amin Beheshti, Stefano Russo, Nimanthi Atukorala, Jia Wu, Philip S. Yu, Heiko Ludwig, Stephan Reiff-Marganiec, Wei (Emma) Zhang, Anca Sailer, Nicola Bena, Kuang Li, Yuji Watanabe, Tiancheng Zhao, Shangguang Wang, Zhiying Tu, Yingjie Wang, Kang Wei
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-9
Number of pages	9
ISBN (Electronic)	9798350368550
ISBN (Print)	9798350368567
DOIs	https://doi.org/10.1109/ICWS62655.2024.00018
Publication status	Published - 2024
Event	2024 IEEE International Conference on Web Services, ICWS 2024 - Shenzhen, China Duration: 7 Jul 2024 → 13 Jul 2024

Conference

Conference	2024 IEEE International Conference on Web Services, ICWS 2024
Country/Territory	China
City	Shenzhen
Period	7/07/24 → 13/07/24

Keywords

data ecosystem
data product
data service
design thinking and complexity
service computing

Access to Document

10.1109/ICWS62655.2024.00018

Cite this

Chen, V., Chen, P., & Beheshti, A. (2024). Ecosystem-based data products and DaaS: complexity analysis and design considerations. In R. N. Chang, C. K. Chang, Z. Jiang, J. Yang, Z. Jin, M. Sheng, J. Fan, K. Fletcher, Q. He, C. Ardagna, J. Yang, J. Yin, Z. Wang, A. Beheshti, S. Russo, N. Atukorala, J. Wu, P. S. Yu, H. Ludwig, S. Reiff-Marganiec, W. Zhang, A. Sailer, N. Bena, K. Li, Y. Watanabe, T. Zhao, S. Wang, Z. Tu, Y. Wang, ... K. Wei (Eds.), ICWS 2024: 2024 IEEE International Conference on Web Services: proceedings (pp. 1-9). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS62655.2024.00018

Chen, Vincent ; Chen, Perry ; Beheshti, Amin. / Ecosystem-based data products and DaaS : complexity analysis and design considerations. ICWS 2024: 2024 IEEE International Conference on Web Services: proceedings. editor / Rong N. Chang ; Carl K. Chang ; Zigui Jiang ; Jingwei Yang ; Zhi Jin ; Michael Sheng ; Jing Fan ; Kenneth Fletcher ; Qiang He ; Claudio Ardagna ; Jian Yang ; Jianwei Yin ; Zhongjie Wang ; Amin Beheshti ; Stefano Russo ; Nimanthi Atukorala ; Jia Wu ; Philip S. Yu ; Heiko Ludwig ; Stephan Reiff-Marganiec ; Wei (Emma) Zhang ; Anca Sailer ; Nicola Bena ; Kuang Li ; Yuji Watanabe ; Tiancheng Zhao ; Shangguang Wang ; Zhiying Tu ; Yingjie Wang ; Kang Wei. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2024. pp. 1-9

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title = "Ecosystem-based data products and DaaS: complexity analysis and design considerations",

abstract = "Data activities and technologies in modern organisations are becoming more diverse and complex, and continuously operate, change, and evolve as an enterprise data ecosystem (EDE). This fast-changing environment presents both challenges and opportunities for many computing and design concepts and approaches and raises the questions whether and how they can be continuously and effectively applied. This paper analyses operation features and complexity of EDE and delves into design considerations for data products and Data-as-a-Service (DaaS) to play their roles as solutions for data practice management improvement, integration, interoperability and design of services in data space.",

keywords = "data ecosystem, data product, data service, design thinking and complexity, service computing",

author = "Vincent Chen and Perry Chen and Amin Beheshti",

year = "2024",

doi = "10.1109/ICWS62655.2024.00018",

language = "English",

isbn = "9798350368567",

pages = "1--9",

editor = "Chang, \{Rong N.\} and Chang, \{Carl K.\} and Zigui Jiang and Jingwei Yang and Zhi Jin and Michael Sheng and Jing Fan and Kenneth Fletcher and Qiang He and Claudio Ardagna and Jian Yang and Jianwei Yin and Zhongjie Wang and Amin Beheshti and Stefano Russo and Nimanthi Atukorala and Jia Wu and Yu, \{Philip S.\} and Heiko Ludwig and Stephan Reiff-Marganiec and Zhang, \{Wei (Emma)\} and Anca Sailer and Nicola Bena and Kuang Li and Yuji Watanabe and Tiancheng Zhao and Shangguang Wang and Zhiying Tu and Yingjie Wang and Kang Wei",

booktitle = "ICWS 2024",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2024 IEEE International Conference on Web Services, ICWS 2024 ; Conference date: 07-07-2024 Through 13-07-2024",

}

Chen, V, Chen, P & Beheshti, A 2024, Ecosystem-based data products and DaaS: complexity analysis and design considerations. in RN Chang, CK Chang, Z Jiang, J Yang, Z Jin, M Sheng, J Fan, K Fletcher, Q He, C Ardagna, J Yang, J Yin, Z Wang, A Beheshti, S Russo, N Atukorala, J Wu, PS Yu, H Ludwig, S Reiff-Marganiec, W Zhang, A Sailer, N Bena, K Li, Y Watanabe, T Zhao, S Wang, Z Tu, Y Wang & K Wei (eds), ICWS 2024: 2024 IEEE International Conference on Web Services: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-9, 2024 IEEE International Conference on Web Services, ICWS 2024, Shenzhen, China, 7/07/24. https://doi.org/10.1109/ICWS62655.2024.00018

Ecosystem-based data products and DaaS: complexity analysis and design considerations. / Chen, Vincent; Chen, Perry; Beheshti, Amin.
ICWS 2024: 2024 IEEE International Conference on Web Services: proceedings. ed. / Rong N. Chang; Carl K. Chang; Zigui Jiang; Jingwei Yang; Zhi Jin; Michael Sheng; Jing Fan; Kenneth Fletcher; Qiang He; Claudio Ardagna; Jian Yang; Jianwei Yin; Zhongjie Wang; Amin Beheshti; Stefano Russo; Nimanthi Atukorala; Jia Wu; Philip S. Yu; Heiko Ludwig; Stephan Reiff-Marganiec; Wei (Emma) Zhang; Anca Sailer; Nicola Bena; Kuang Li; Yuji Watanabe; Tiancheng Zhao; Shangguang Wang; Zhiying Tu; Yingjie Wang; Kang Wei. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 1-9.

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

TY - GEN

T1 - Ecosystem-based data products and DaaS

T2 - 2024 IEEE International Conference on Web Services, ICWS 2024

AU - Chen, Vincent

AU - Chen, Perry

AU - Beheshti, Amin

PY - 2024

Y1 - 2024

N2 - Data activities and technologies in modern organisations are becoming more diverse and complex, and continuously operate, change, and evolve as an enterprise data ecosystem (EDE). This fast-changing environment presents both challenges and opportunities for many computing and design concepts and approaches and raises the questions whether and how they can be continuously and effectively applied. This paper analyses operation features and complexity of EDE and delves into design considerations for data products and Data-as-a-Service (DaaS) to play their roles as solutions for data practice management improvement, integration, interoperability and design of services in data space.

AB - Data activities and technologies in modern organisations are becoming more diverse and complex, and continuously operate, change, and evolve as an enterprise data ecosystem (EDE). This fast-changing environment presents both challenges and opportunities for many computing and design concepts and approaches and raises the questions whether and how they can be continuously and effectively applied. This paper analyses operation features and complexity of EDE and delves into design considerations for data products and Data-as-a-Service (DaaS) to play their roles as solutions for data practice management improvement, integration, interoperability and design of services in data space.

KW - data ecosystem

KW - data product

KW - data service

KW - design thinking and complexity

KW - service computing

UR - https://www.scopus.com/pages/publications/85210224540

U2 - 10.1109/ICWS62655.2024.00018

DO - 10.1109/ICWS62655.2024.00018

M3 - Conference proceeding contribution

AN - SCOPUS:85210224540

SN - 9798350368567

SP - 1

EP - 9

BT - ICWS 2024

A2 - Chang, Rong N.

A2 - Chang, Carl K.

A2 - Jiang, Zigui

A2 - Yang, Jingwei

A2 - Jin, Zhi

A2 - Sheng, Michael

A2 - Fan, Jing

A2 - Fletcher, Kenneth

A2 - He, Qiang

A2 - Ardagna, Claudio

A2 - Yang, Jian

A2 - Yin, Jianwei

A2 - Wang, Zhongjie

A2 - Beheshti, Amin

A2 - Russo, Stefano

A2 - Atukorala, Nimanthi

A2 - Wu, Jia

A2 - Yu, Philip S.

A2 - Ludwig, Heiko

A2 - Reiff-Marganiec, Stephan

A2 - Zhang, Wei (Emma)

A2 - Sailer, Anca

A2 - Bena, Nicola

A2 - Li, Kuang

A2 - Watanabe, Yuji

A2 - Zhao, Tiancheng

A2 - Wang, Shangguang

A2 - Tu, Zhiying

A2 - Wang, Yingjie

A2 - Wei, Kang

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

Y2 - 7 July 2024 through 13 July 2024

ER -

Chen V, Chen P, Beheshti A. Ecosystem-based data products and DaaS: complexity analysis and design considerations. In Chang RN, Chang CK, Jiang Z, Yang J, Jin Z, Sheng M, Fan J, Fletcher K, He Q, Ardagna C, Yang J, Yin J, Wang Z, Beheshti A, Russo S, Atukorala N, Wu J, Yu PS, Ludwig H, Reiff-Marganiec S, Zhang W, Sailer A, Bena N, Li K, Watanabe Y, Zhao T, Wang S, Tu Z, Wang Y, Wei K, editors, ICWS 2024: 2024 IEEE International Conference on Web Services: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2024. p. 1-9 doi: 10.1109/ICWS62655.2024.00018

Ecosystem-based data products and DaaS: complexity analysis and design considerations

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