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Building a conceptual architecture and stakeholder map of a system-of-systems for disaster monitoring and early-warning: A case study in Brazil

Published: 20 May 2019 Publication History

Abstract

Monitoring systems are essential for prompt action in case of a disaster, as well as for understanding these systems as constituent systems within a System-of-Systems (SoS) can provide new and unique features that cannot be provided by any individual system separately. Furthermore, the identification of existing stakeholders also plays an important role, as constituent systems may be associated with multiple requirements. Therefore, this work presents two artifacts -a conceptual architecture and a stakeholder map - of a SoS for disaster monitoring and early-warning. A Design Science Research (DSR) within a Brazilian early-warning center has been conducted for designing and evaluating the artifacts. An artifact generalization approach has been also employed for generalizing the artifacts from a specific to a broader and generic scenario. Study findings showed that a SoS for disaster monitoring and early-warning should comprise nine constituents, which are used by four groups of stakeholders.

References

[1]
L. F. F. G. Assis, L. P. Behnck, D. Doering, E. P. Freitas, C. E. Pereira, F. E. A. Horita, J. Ueyama, and J. P. Albuquerque. 2016. Dynamic Sensor Management: Extending Sensor Web for Near Real-Time Mobile Sensor Integration in Dynamic Scenarios. In Proceedings of the 30th International Conference on Advanced Information Networking and Applications (AINA). 303--310.
[2]
Albert Boonstra and Jan de Vries. 2008. Managing stakeholders around inter-organizational systems: A diagnostic approach. The Journal of Strategic Information Systems 17, 3 (2008), 190--201.
[3]
Arne Bröring, Johannes Echterhoff, Simon Jirka, Ingo Simonis, Thomas Everding, Christoph Stasch, Steve Liang, and Rob Lemmens. 2011. New generation sensor web enablement. Sensors 11, 3 (2011), 2652--2699.
[4]
Antonella Cavallo and Vernon Ireland. 2014. Preparing for complex interdependent risks: A System of Systems approach to building disaster resilience. International Journal of Disaster Risk Reduction 9 (2014), 181--193.
[5]
S. Chandana and H. Leung. 2010. A system of systems approach to disaster management. IEEE Communications Magazine 48, 3 (2010), 138--145.
[6]
Max Craglia, Jiri Hradec, Stefano Nativi, and Mattia Santoro. 2017. Exploring the depths of the global earth observation system of systems. Big Earth Data 1, 1-2 (2017), 21--46.
[7]
Daniel DeLaurentis. 2007. Role of Humans in Complexity of a System-of-Systems. In Digital Human Modeling, Vincent G. Duffy (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 363--371.
[8]
Michael F. Goodchild. 2007. Citizens as sensors: the world of volunteered geography. Geo Journal 69, 4 (2007), 211--221.
[9]
M. Henshaw, C. Siemieniuch, M. Sinclair, S. Henson, V. Barot, M. Jamshidi, D. Delaurentis, C. Ncube, S. L. Lim, and H. Dogan. 2013. Systems of Systems Engineering: A research imperative. In Proceedings of the 2013 International Conference on System Science and Engineering (ICSSE). 389--394.
[10]
Alan R. Hevner, Salvatore T. March, Jinsoo Park, and Sudha Ram. 2004. Design Science in Information Systems Research. MIS Quarterly. 28, 1 (2004), 75--105.
[11]
F. E. A. Horita, J. P. Albuquerque, L. C. Degrossi, Eduardo M. Mendiondo, and JÃş Ueyama. 2015. Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Computers & Geosciences 80 (2015), 84--94.
[12]
F. E. A. Horita, J. P. Albuquerque, V. Marchezini, and E. M. Mendiondo. 2017. Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil. Decision Support Systems 97 (2017), 12--22.
[13]
F. E. A. Horita, J. P. de Albuquerque, and V. Marchezini. 2018. Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil. International Journal of Disaster Risk Reduction 28 (2018), 22--31.
[14]
D. Hughes, J. Ueyama, E. M. Mendiondo, N. Matthys, W. Horro, S. Michiels, C. Huygens, W. Joosen, K. L. Man, and S Guan. 2011. A middleware platform to support river monitoring using wireless sensor networks. Journal of the Brazilian Computer Society 7 (2011), 85--102.
[15]
Deren Li, Linglin Zeng, Nengcheng Chen, Jie Shan, Liangming Liu, Yida Fan, and Wei Li. 2014. A framework design for the Chinese National Disaster Reduction System of Systems (CN-DRSS). International Journal of Digital Earth 7, 1 (2014), 68--87.
[16]
S. Liu. 2011. Employing System of Systems Engineering in China's Emergency Management. IEEE Systems Journal 5, 2 (2011), 298--308.
[17]
Mark W. Maier. 1996. Architecting Principles for Systems-of-Systems. INCOSE International Symposium 6, 1 (1996), 565--573.
[18]
B. Mekdeci, N. Shah, A. M. Ross, D. H. Rhodes, and D. Hastings. 2014. Revisiting the Question: Are Systems of Systems just (traditional) Systems or are they a new class of Systems? Technical Report. Systems Engineering Advancement Research Initiative (SEAri), Cambridge, MA.
[19]
Ministério da Casa Civil. 2012. Criação de Sistema de Informações e Monitoramento de Desastres. Available at: http://www.planalto.gov.br/ccivil_03/_Ato2011-2014/2012/Lei/L12608.htm.
[20]
Ministério da Ciência, Tecnologia, Inovações e Comunicações. 2016. Regimento Interno do Centro Nacional de Monitoramento e Alertas de Desastres Naturais -- Cemaden. Available at: https://www.mctic.gov.br/mctic/opencms/legislacao/portarias/migracao/Portaria_MCTIC_n_5141_de_14112016.html.
[21]
Ministério do Planejamento, Orçamento e Gestão. 2016. Estratégia de Governança Digital da Administração Pública Federal 2016-2019. Available at: https://www.governodigital.gov.br/documentos-e-arquivos/egdestrategia-de-governanca-digital-da-administracao-federal-2016-2019.pdf.
[22]
Elisa Y. Nakagawa, Marcelo Gonçalves, Milena Guessi, Lucas B. R. Oliveira, and Flavio Oquendo. 2013. The State of the Art and Future Perspectives in Systems of Systems Software Architectures. In Proceedings of the 1st International Workshop on Software Engineering for Systems-of-Systems (SESoS). 13--20.
[23]
Valdemar Vicente Graciano Neto, Flavio E. A. Horita, Everton Cavalcante, Adair Rohling, Jamal El-Hachem, Daniel S. Santos, and Elisa Y. Nakagawa. 2018. A Study on Goals Specification for Systems-of-Information Systems: Design Principles and Conceptual Model. In Proceedings of the XIV Brazilian Symposium on Information Systems (SBSI). 1--10.
[24]
F. Oquendo. 2016. Formally describing the software architecture of Systems-of-Systems with SosADL. In Proceedings of the 11th System of Systems Engineering Conference (SoSE). 1--6.
[25]
Ken Peffers, Tuure Tuunanen, Marcus Rothenberger, and Samir Chatterjee. 2007. A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems 24, 3 (2007), 45--77.
[26]
Christian Reichel and Urte Undine Frömming. 2014. Participatory Mapping of Local Disaster Risk Reduction Knowledge: An Example from Switzerland. International Journal of Disaster Risk Science 5, 1 (01 Mar 2014), 41--54.
[27]
Jack B. Reid and Donna H. Rhodes. 2018. Classifying Emergent Behavior to Reveal Design Patterns. In Disciplinary Convergence in Systems Engineering Research, Azad M. Madni, Barry Boehm, Roger G. Ghanem, Daniel Erwin, and Marilee J. Wheaton (Eds.). 727--740.
[28]
Alejandro Salado and Roshanak Nilchiani. 2013. Contextual- and Behavioral-Centric Stakeholder Identification. Procedia Computer Science 16 (2013), 908--917.
[29]
L. B. L. Santos, T. Carvalho, L. O. Anderson, C. M. Rudorff, V. Marchezini, L. R. Londe, and S. M. Saito. 2017. An RS-GIS-Based ComprehensiveImpact Assessment of Floods - Case Study in Madeira River, Western Brazilian Amazon. IEEE Geoscience and Remote Sensing Letters 14, 9 (Sept 2017), 1614--1617.
[30]
Brian Sauser and John Boardman. 2015. Systemigram Modeling for Contextualizing Complexity in System of Systems. John Wiley & Sons, Ltd, Chapter 11, 273--302.
[31]
M.K. Sein, Ola Henfridsson, Sandeep Purao, Matti Rossi, and Rikard Lindgren. 2011. Action design research. MIS Quarterly 35 1 (2011), 37--56.
[32]
E. Silva, E. Cavalcante, T. Batista, and F. Oquendo. 2016. Bridging Missions and Architecture in Software-Intensive Systems-of-Systems. In Proceedings of the 21st International Conference on Engineering of Complex Computer Systems (ICECCS). Dubai, United Arab Emirates, 201--206.
[33]
U. van Heesch, V. P. Eloranta, P. Avgeriou, K. Koskimies, and N. Harrison. 2014. Decision-Centric Architecture Reviews. IEEE Software 31, 1 (2014), 69--76.

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  1. Building a conceptual architecture and stakeholder map of a system-of-systems for disaster monitoring and early-warning: A case study in Brazil

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      cover image ACM Other conferences
      SBSI '19: Proceedings of the XV Brazilian Symposium on Information Systems
      May 2019
      623 pages
      ISBN:9781450372374
      DOI:10.1145/3330204
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 20 May 2019

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      Author Tags

      1. Case study
      2. Conceptual architecture
      3. Disaster monitoring and early-warning
      4. SoS architecture
      5. System-of-systems

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      View all
      • (2023)A Systematic Mapping of the Proposition of Benchmarks in the Software Testing and Debugging DomainSoftware10.3390/software20400212:4(447-475)Online publication date: 12-Oct-2023
      • (2023)Critical Failure Factors of Flood Early Warning and Response Systems (FEWRS): A Structured Literature Review and Interpretive Structural Modelling (ISM) AnalysisGeosciences10.3390/geosciences1305013713:5(137)Online publication date: 8-May-2023
      • (2023)Actors in conflict of interest in Iran's health system: Ranking and policy recommendations for conflict of interest managementWorld Medical & Health Policy10.1002/wmh3.56115:4(476-488)Online publication date: 7-Feb-2023
      • (2020)Exploring the emerging evolution trends of disaster risk reduction research: a global scenarioInternational Journal of Environmental Science and Technology10.1007/s13762-020-02847-118:3(673-690)Online publication date: 14-Jul-2020

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