{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T06:21:38Z","timestamp":1773469298755,"version":"3.50.1"},"reference-count":90,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001775","name":"University of Technology Sydney","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001775","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The management and analytics of big data generated from IoT sensors deployed in smart buildings pose a real challenge in today\u2019s world. Hence, there is a clear need for an IoT focused Integrated Big Data Management and Analytics framework to enable the near real-time autonomous control and management of smart buildings. The focus of this paper is on the development and evaluation of the reference architecture required to support such a framework. The applicability of the reference architecture is evaluated by taking into account various example scenarios for a smart building involving the management and analysis of near real-time IoT data from 1000 sensors. The results demonstrate that the reference architecture can guide the complex integration and orchestration of real-time IoT data management, analytics, and autonomous control of smart buildings, and that the architecture can be scaled up to address challenges for other smart environments.<\/jats:p>","DOI":"10.1007\/s42979-022-01401-9","type":"journal-article","created":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T12:10:03Z","timestamp":1664280603000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A Reference Architecture for\u00a0IoT-Enabled Smart\u00a0Buildings"],"prefix":"10.1007","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6326-9267","authenticated-orcid":false,"given":"Muhammad Rizwan","family":"Bashir","sequence":"first","affiliation":[]},{"given":"Asif Qumer","family":"Gill","sequence":"additional","affiliation":[]},{"given":"Ghassan","family":"Beydoun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,27]]},"reference":[{"key":"1401_CR1","unstructured":"Cisco, the internet of things how the next evolution of the internet is changing everything. 2011.Available from https:\/\/www.cisco.com\/c\/dam\/en_us\/about\/ac79\/docs\/innov\/IoT_IBSG_0411FINAL.pdf. Accessed  22 July 2022."},{"key":"1401_CR2","doi-asserted-by":"crossref","unstructured":"Al-Sai ZA, Abdullah R, Husin MH. Big data impacts and challenges: a review. In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). 2019.","DOI":"10.1109\/JEEIT.2019.8717484"},{"key":"1401_CR3","doi-asserted-by":"crossref","unstructured":"Varma C. Performance analysis and challenges of the map reduce framework in big data analytics. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT). 2018.","DOI":"10.1109\/ICCTCT.2018.8551013"},{"key":"1401_CR4","doi-asserted-by":"crossref","unstructured":"Jamil A, et al. Comprehensive review of challenges & technologies for big data analytics. In 2018 IEEE International Conference on Computer and Communication Engineering Technology (CCET). 2018.","DOI":"10.1109\/CCET.2018.8542219"},{"key":"1401_CR5","doi-asserted-by":"crossref","unstructured":"Desai PV. A survey on big data applications and challenges. In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 2018.","DOI":"10.1109\/ICICCT.2018.8472999"},{"issue":"2","key":"1401_CR6","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1080\/10630732.2011.601117","volume":"18","author":"A Caragliu","year":"2011","unstructured":"Caragliu A, Del Bo C, Nijkamp P. Smart cities in Europe. J Urban Technol. 2011;18(2):65\u201382.","journal-title":"J Urban Technol"},{"key":"1401_CR7","doi-asserted-by":"crossref","unstructured":"Vasicek D, et al. IoT Smart Home Concept. In 2018 26th Telecommunications Forum (TELFOR). 2018.","DOI":"10.1109\/TELFOR.2018.8612078"},{"key":"1401_CR8","doi-asserted-by":"crossref","unstructured":"Arnone D, et al. Energy management of multi-carrier smart buildings for integrating local renewable energy systems. In 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA). 2016.","DOI":"10.1109\/ICRERA.2016.7884455"},{"key":"1401_CR9","doi-asserted-by":"crossref","unstructured":"El-Shafie M, Fakeih L. The smart environment of commercial buildings. In 2018 15th Learning and Technology Conference (L&T). 2018.","DOI":"10.1109\/LT.2018.8368501"},{"key":"1401_CR10","first-page":"1","volume":"8","author":"S-Y Chen","year":"2009","unstructured":"Chen S-Y, et al. Survey on smart grid technology. Power Syst Technol. 2009;8:1\u20137.","journal-title":"Power Syst Technol"},{"key":"1401_CR11","volume-title":"Intelligent infrastructure: neural networks, wavelets, and chaos theory for intelligent transportation systems and smart structures","author":"H Adeli","year":"2009","unstructured":"Adeli H, Jiang X. Intelligent infrastructure: neural networks, wavelets, and chaos theory for intelligent transportation systems and smart structures. Boca Raton: Crc Press; 2009."},{"issue":"5","key":"1401_CR12","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MITP.2013.35","volume":"15","author":"H Demirkan","year":"2013","unstructured":"Demirkan H. A smart healthcare systems framework. It Professional. 2013;15(5):38\u201345.","journal-title":"It Professional"},{"key":"1401_CR13","doi-asserted-by":"crossref","unstructured":"Saha HN, et al. Disaster management using Internet of Things. In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). 2017.","DOI":"10.1109\/IEMECON.2017.8079566"},{"key":"1401_CR14","doi-asserted-by":"crossref","unstructured":"Dineshreddy V, Gangadharan GR. Towards an \u201cInternet of Things\u201d framework for financial services sector. In 2016 3rd International Conference on Recent Advances in Information Technology (RAIT). 2016.","DOI":"10.1109\/RAIT.2016.7507897"},{"key":"1401_CR15","doi-asserted-by":"crossref","unstructured":"Dlamini NN, Johnston K. The use, benefits and challenges of using the Internet of Things (IoT) in retail businesses: A literature review. In 2016 International Conference on Advances in Computing and Communication Engineering (ICACCE). 2016.","DOI":"10.1109\/ICACCE.2016.8073787"},{"key":"1401_CR16","doi-asserted-by":"crossref","unstructured":"Chourabi H, et al. Understanding smart cities: an integrative framework. In System Science (HICSS), 2012 45th Hawaii International Conference on. IEEE. 2012.","DOI":"10.1109\/HICSS.2012.615"},{"issue":"1","key":"1401_CR17","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/MCOM.2017.1600267CM","volume":"55","author":"K Zhang","year":"2017","unstructured":"Zhang K, et al. Security and privacy in smart city applications: challenges and solutions. IEEE Commun Mag. 2017;55(1):122\u20139.","journal-title":"IEEE Commun Mag"},{"key":"1401_CR18","doi-asserted-by":"crossref","unstructured":"Nath NR, Narayanaswami P, Mohan GG. Intelligent query placement strategy for progressive-real time analytics in big data. In 2016 10th International Conference on Intelligent Systems and Control (ISCO). 2016.","DOI":"10.1109\/ISCO.2016.7726939"},{"key":"1401_CR19","first-page":"127","volume":"50","author":"A Ashamalla","year":"2017","unstructured":"Ashamalla A, Beydoun G, Low G. Model driven approach for real-time requirement analysis of multi-agent systems. Comput Lang Syst Struct. 2017;50:127\u201339.","journal-title":"Comput Lang Syst Struct"},{"key":"1401_CR20","doi-asserted-by":"crossref","unstructured":"Miller RB. Response time in man-computer conversational transactions. In Proceedings of the December 9\u201311, 1968, fall joint computer conference, part I. 1968.","DOI":"10.1145\/1476589.1476628"},{"key":"1401_CR21","doi-asserted-by":"publisher","first-page":"169740","DOI":"10.1109\/ACCESS.2020.3024066","volume":"8","author":"MR Bashir","year":"2020","unstructured":"Bashir MR, et al. Big data management and analytics metamodel for IoT-enabled smart buildings. IEEE Access. 2020;8:169740\u201358.","journal-title":"IEEE Access"},{"key":"1401_CR22","doi-asserted-by":"crossref","unstructured":"Bashir MR, Gill AQ. Towards an IoT big data analytics framework: smart buildings systems. In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS). IEEE. 2016.","DOI":"10.1109\/HPCC-SmartCity-DSS.2016.0188"},{"key":"1401_CR23","unstructured":"Autoregressive integrated moving average. 2018. Available from: https:\/\/en.wikipedia.org\/wiki\/Autoregressive_integrated_moving_average. Accessed 2018 March 05."},{"key":"1401_CR24","unstructured":"Patel K, et al. Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. In International journal of engineering science\ncomputing 2016."},{"key":"1401_CR25","first-page":"1","volume-title":"Machine-to-machine (M2M) communications","author":"C Ant\u00f3n-Haro","year":"2015","unstructured":"Ant\u00f3n-Haro C, Dohler M. 1 - Introduction to machine-to-machine (M2M) communications. In: Machine-to-machine (M2M) communications. Oxford: Woodhead Publishing; 2015. p. 1\u201323."},{"key":"1401_CR26","unstructured":"Ericsson. More than 50 billion connected devices. 2011. Available from https:\/\/www.semanticscholar.org\/paper\/More-than-50-billion-connected-devices\/c27a6e0d36e636b4904ad78e2136829602b3f150#extracted. Accessed 20 Aug 2020."},{"key":"1401_CR27","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.iot.2018.08.009","volume":"1","author":"D Mocrii","year":"2018","unstructured":"Mocrii D, Chen Y, Musilek PJIOT. IoT-based smart homes: a review of system architecture, software, communications, privacy and security. Internet of Things. 2018;1:81\u201398.","journal-title":"Internet of Things"},{"key":"1401_CR28","doi-asserted-by":"crossref","unstructured":"Akkaya K, et al. IoT-based occupancy monitoring techniques for energy-efficient smart buildings. In 2015 IEEE Wireless communications and networking conference workshops (WCNCW). IEEE. 2015.","DOI":"10.1109\/WCNCW.2015.7122529"},{"key":"1401_CR29","doi-asserted-by":"crossref","unstructured":"Keertikumar M, Shubham M, Banakar R. Evolution of IoT in smart vehicles: an overview. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE. 2015.","DOI":"10.1109\/ICGCIoT.2015.7380573"},{"key":"1401_CR30","doi-asserted-by":"crossref","unstructured":"Sung WT, Lu CY. Smart warehouse management based on IoT architecture. In 2018 International Symposium on Computer, Consumer and Control (IS3C). IEEE. 2018.","DOI":"10.1109\/IS3C.2018.00050"},{"issue":"10","key":"1401_CR31","doi-asserted-by":"publisher","first-page":"2826","DOI":"10.3390\/s20102826","volume":"20","author":"TG Stavropoulos","year":"2020","unstructured":"Stavropoulos TG, et al. IoT wearable sensors and devices in elderly care: a literature review. Sensors. 2020;20(10):2826.","journal-title":"Sensors"},{"key":"1401_CR32","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.compag.2017.09.015","volume":"142","author":"JM Talavera","year":"2017","unstructured":"Talavera JM, et al. Review of IoT applications in agro-industrial and environmental fields. Comput Electron Agric. 2017;142:283\u201397.","journal-title":"Comput Electron Agric"},{"key":"1401_CR33","doi-asserted-by":"crossref","unstructured":"Rehman HU, Asif M, Ahmad M. Future applications and research challenges of IOT. In 2017 International conference on information and communication technologies (ICICT). IEEE. 2017.","DOI":"10.1109\/ICICT.2017.8320166"},{"issue":"2","key":"1401_CR34","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MVT.2006.283570","volume":"1","author":"MA Uusitalo","year":"2006","unstructured":"Uusitalo MA. global vision for the future wireless world from the WWRF. IEEE Veh Technol Mag. 2006;1(2):4\u20138.","journal-title":"IEEE Veh Technol Mag"},{"key":"1401_CR35","doi-asserted-by":"publisher","first-page":"157","DOI":"10.24999\/IJOAEM\/02070037","volume":"2","author":"M Inamdar","year":"2017","unstructured":"Inamdar M, Roy S. Internet of things: architecture, security and applications. Int J Adv Eng Manag. 2017;2:157.","journal-title":"Int J Adv Eng Manag"},{"key":"1401_CR36","doi-asserted-by":"crossref","unstructured":"Joshi YA, et al. 3rd International Conference on Innovations in Automation and Mechatronics Engineering 2016, ICIAME 2016 05\u201306 February, 2016 Customized IoT enabled wireless sensing and monitoring platform for smart buildings. Procedia Technology. 2016;23: 256\u2013263.","DOI":"10.1016\/j.protcy.2016.03.025"},{"key":"1401_CR37","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1186\/s12876-016-0448-x","volume":"16","author":"E Bayerd\u00f6rffer","year":"2016","unstructured":"Bayerd\u00f6rffer E, et al. Randomized, multicenter study: on-demand versus continuous maintenance treatment with esomeprazole in patients with non-erosive gastroesophageal reflux disease. BMC Gastroenterol. 2016;16:48.","journal-title":"BMC Gastroenterol"},{"issue":"4","key":"1401_CR38","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1002\/j.1099-1174.1993.tb00047.x","volume":"2","author":"Z Lin","year":"1993","unstructured":"Lin Z, Carley K. Proactive or reactive: an analysis of the effect of agent style on organizational decision-making performance. Intell Syst Account Financ Manag. 1993;2(4):271\u201387.","journal-title":"Intell Syst Account Financ Manag"},{"key":"1401_CR39","unstructured":"Dykes B. Reporting vs. analysis: what\u2019s the difference? 2010. Available from https:\/\/blog.adobe.com\/en\/publish\/2010\/10\/19\/reporting-vs-analysis-whats-the-difference. Accessed 15 Mar 2022."},{"key":"1401_CR40","unstructured":"Duffy A, O'Donnel FJ. A design research approach. In Proceedings of the AID\u201998 workshop on research methods. 1998. Lisbon, Portugal."},{"key":"1401_CR41","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.protcy.2015.10.085","volume":"21","author":"R Shyam","year":"2015","unstructured":"Shyam R, et al. Apache spark a big data analytics platform for smart grid. Procedia Technol. 2015;21:171\u20138.","journal-title":"Procedia Technol"},{"key":"1401_CR42","doi-asserted-by":"crossref","unstructured":"Kolozali S, et al. A knowledge-based approach for real-time IoT data stream annotation and processing. In Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE. 2014.","DOI":"10.1109\/iThings.2014.39"},{"issue":"5","key":"1401_CR43","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1007\/s00500-015-1679-4","volume":"20","author":"MV Moreno","year":"2016","unstructured":"Moreno MV, et al. Big data: the key to energy efficiency in smart buildings. Soft Comput. 2016;20(5):1749\u201362.","journal-title":"Soft Comput"},{"key":"1401_CR44","doi-asserted-by":"crossref","unstructured":"Ismail A. Utilizing big data analytics as a solution for smart cities. In 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC). 2016.","DOI":"10.1109\/ICBDSC.2016.7460348"},{"key":"1401_CR45","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.future.2017.09.082","volume":"82","author":"AP Plageras","year":"2018","unstructured":"Plageras AP, et al. Efficient IoT-based sensor BIG Data collection\u2013processing and analysis in smart buildings. Futur Gener Comput Syst. 2018;82:349\u201357.","journal-title":"Futur Gener Comput Syst"},{"key":"1401_CR46","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1016\/j.egypro.2017.07.354","volume":"122","author":"L Linder","year":"2017","unstructured":"Linder L, et al. Big building data\u2014a big data platform for smart buildings. Energy Procedia. 2017;122:589\u201394.","journal-title":"Energy Procedia"},{"issue":"30","key":"1401_CR47","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ifacol.2016.11.121","volume":"49","author":"A Souza","year":"2016","unstructured":"Souza A, et al. Using big data and real-time analytics to support smart city initiatives. IFAC-PapersOnLine. 2016;49(30):257\u201362.","journal-title":"IFAC-PapersOnLine"},{"key":"1401_CR48","doi-asserted-by":"crossref","unstructured":"Rathore MM, Ahmad A, Paul A. IoT-based smart city development using big data analytical approach. In 2016 IEEE International Conference on Automatica (ICA-ACCA). 2016.","DOI":"10.1109\/ICA-ACCA.2016.7778510"},{"issue":"2","key":"1401_CR49","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1109\/JIOT.2017.2722378","volume":"5","author":"P Ta-Shma","year":"2017","unstructured":"Ta-Shma P, et al. An ingestion and analytics architecture for IoT applied to smart city use cases. IEEE Internet Things J. 2017;5(2):765\u201374.","journal-title":"IEEE Internet Things J"},{"key":"1401_CR50","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/978-3-319-09177-8_11","volume-title":"Modeling and processing for next-generation big-data technologies: with applications and case studies","author":"M Strohbach","year":"2015","unstructured":"Strohbach M, et al. Towards a big data analytics framework for iot and smart city applications. In: Xhafa F, et al., editors. Modeling and processing for next-generation big-data technologies: with applications and case studies. Cham: Springer International Publishing; 2015. p. 257\u201382."},{"key":"1401_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32022-5_34","volume-title":"A proposed architecture for iot big data analysis in smart supply chain fields","author":"F-V Constante-Nicolalde","year":"2020","unstructured":"Constante-Nicolalde F-V, P\u00e9rez-Medina J-L, Guerra-Ter\u00e1n P. A proposed architecture for iot big data analysis in smart supply chain fields. Cham: Springer International Publishing; 2020."},{"issue":"2","key":"1401_CR52","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/MCOM.2018.1700304","volume":"56","author":"H Habibzadeh","year":"2018","unstructured":"Habibzadeh H, et al. Soft sensing in smart cities: handling 3Vs using recommender systems, machine intelligence, and data analytics. IEEE Commun Mag. 2018;56(2):78\u201386.","journal-title":"IEEE Commun Mag"},{"key":"1401_CR53","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.comcom.2021.06.003","volume":"176","author":"A Kumar","year":"2021","unstructured":"Kumar A, et al. Secure and energy-efficient smart building architecture with emerging technology IoT. Comput Commun. 2021;176:207\u201317.","journal-title":"Comput Commun"},{"issue":"20","key":"1401_CR54","doi-asserted-by":"publisher","first-page":"31277","DOI":"10.1007\/s11042-020-10471-x","volume":"80","author":"M Kumar","year":"2021","unstructured":"Kumar M, et al. An efficient framework using visual recognition for IoT based smart city surveillance. Multimedia Tools and Applications. 2021;80(20):31277\u201395.","journal-title":"Multimedia Tools and Applications"},{"issue":"1","key":"1401_CR55","doi-asserted-by":"publisher","first-page":"71","DOI":"10.3390\/su14010071","volume":"14","author":"A Kumar","year":"2022","unstructured":"Kumar A, et al. Revolutionary strategies analysis and proposed system for future infrastructure in internet of things. Sustainability. 2022;14(1):71.","journal-title":"Sustainability"},{"issue":"4","key":"1401_CR56","doi-asserted-by":"publisher","first-page":"e5049","DOI":"10.1002\/dac.5049","volume":"35","author":"A Kumar","year":"2022","unstructured":"Kumar A, et al. Energy-efficient fog computing in internet of things based on routing protocol for low-power and Lossy Network with Contiki. Int J Commun Syst. 2022;35(4):e5049.","journal-title":"Int J Commun Syst"},{"issue":"2","key":"1401_CR57","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10796-014-9492-7","volume":"17","author":"S Li","year":"2015","unstructured":"Li S, Xu LD, Zhao S. The internet of things: a survey. Inf Syst Front. 2015;17(2):243\u201359.","journal-title":"Inf Syst Front"},{"issue":"4","key":"1401_CR58","doi-asserted-by":"publisher","first-page":"2347","DOI":"10.1109\/COMST.2015.2444095","volume":"17","author":"A Al-Fuqaha","year":"2015","unstructured":"Al-Fuqaha A, et al. Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutor. 2015;17(4):2347\u201376.","journal-title":"IEEE Commun Surv Tutor"},{"issue":"8","key":"1401_CR59","doi-asserted-by":"publisher","first-page":"431047","DOI":"10.1155\/2015\/431047","volume":"11","author":"F Chen","year":"2015","unstructured":"Chen F, et al. Data mining for the internet of things: literature review and challenges.\u00a0International Journal of Distributed Sensor Networks. 2015;11(8):431047.","journal-title":"International Journal of Distributed Sensor Networks"},{"issue":"7","key":"1401_CR60","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1016\/j.future.2013.01.010","volume":"29","author":"J Gubbi","year":"2013","unstructured":"Gubbi J, et al. Internet of things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst. 2013;29(7):1645\u201360.","journal-title":"Futur Gener Comput Syst"},{"key":"1401_CR61","doi-asserted-by":"publisher","first-page":"5247","DOI":"10.1109\/ACCESS.2017.2689040","volume":"5","author":"M Marjani","year":"2017","unstructured":"Marjani M, et al. Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE Access. 2017;5:5247\u201361.","journal-title":"IEEE Access"},{"key":"1401_CR62","unstructured":"Prat N, Comyn-Wattiau I, Akoka J. Artifact evaluation in information systems design-science research\u2014a holistic view. In Pacis Proceedings. 23. 2014."},{"key":"1401_CR63","unstructured":"Vaishnavi V, Kuechler B. Design science research in information systems. January 20, 2004 November 15, 2015; Available from: http:\/\/www.desrist.org\/design-research-in-information-systems\/."},{"key":"1401_CR64","volume-title":"Information, systems, and information systems","author":"P Checkland","year":"1998","unstructured":"Checkland P, Holwell S. Information, systems, and information systems. Chichester: John Wiley & Sons; 1998."},{"key":"1401_CR65","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/978-1-4419-5653-8_2","volume-title":"Design research in information systems: theory and practice","author":"A Hevner","year":"2010","unstructured":"Hevner A, Chatterjee S. Design science research in information systems. In: Design research in information systems: theory and practice. Boston: Springer; 2010. p. 9\u201322."},{"issue":"2","key":"1401_CR66","first-page":"4","volume":"19","author":"AR Hevner","year":"2007","unstructured":"Hevner AR. A three cycle view of design science research. Scand J Inf Syst. 2007;19(2):4.","journal-title":"Scand J Inf Syst"},{"key":"1401_CR67","unstructured":"Prat N, Comyn-Wattiau I, Akoka J. Artifact evaluation in information systems design-science research-a holistic view. In PACIS. 2014."},{"key":"1401_CR68","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.infsof.2015.07.002","volume":"67","author":"AQ Gill","year":"2015","unstructured":"Gill AQ. Agile enterprise architecture modelling: evaluating the applicability and integration of six modelling standards. Inf Softw Technol. 2015;67:196\u2013206.","journal-title":"Inf Softw Technol"},{"key":"1401_CR69","doi-asserted-by":"crossref","unstructured":"Gill AQ, Adaptive cloud enterprise architecture. World Scientific. 2015. Available from https:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/9363#t=aboutBook. Accessed 25  May 2021.","DOI":"10.1142\/9363"},{"key":"1401_CR70","doi-asserted-by":"crossref","unstructured":"Anwar MJ, Gill AQ. A review of the seven modelling approaches for digital ecosystem architecture. In 2019 IEEE 21st Conference on Business Informatics (CBI). 2019.","DOI":"10.1109\/CBI.2019.00018"},{"key":"1401_CR71","unstructured":"Anwar M, Gill A, Beydoun G. Using adaptive enterprise architecture framework for defining the adaptable identity ecosystem architecture. In Australasian Conference on Information Systems. 2019."},{"key":"1401_CR72","unstructured":"Microsoft. Microsoft Power BI. 2020. Available from: https:\/\/powerbi.microsoft.com\/. Accessed 2015."},{"key":"1401_CR73","unstructured":"Tableau. Tableau. 2020. Available from: https:\/\/www.tableau.com\/. Accessed 2020 December 10."},{"key":"1401_CR74","unstructured":"Apache flume. 2018. Available from: https:\/\/flume.apache.org\/. Accessed 2018 August 10."},{"key":"1401_CR75","unstructured":"Apache Spark. Available from: http:\/\/spark.apache.org\/. Accessed 2021 August 19."},{"key":"1401_CR76","unstructured":"Elasticsearch. 2018. Available from: https:\/\/www.elastic.co\/products\/elasticsearch. Accessed 2018 March 05."},{"key":"1401_CR77","unstructured":"Kibana. 2018. Available from: https:\/\/www.elastic.co\/products\/kibana. Accessed 2018 March 05."},{"key":"1401_CR78","unstructured":"Apache Lucene. 2018. Available from: http:\/\/lucene.apache.org\/. Accessed 2018 July 07."},{"key":"1401_CR79","unstructured":"Logstash. 2018. Available from: https:\/\/www.elastic.co\/products\/logstash. Accessed 2018 August 10 ."},{"key":"1401_CR80","doi-asserted-by":"crossref","unstructured":"Ahmed F. An IoT-big data based machine learning technique for forecasting water requirement in irrigation field. In International conference on research and practical issues of enterprise information systems. 2017. Springer.","DOI":"10.1007\/978-3-319-94845-4_7"},{"key":"1401_CR81","unstructured":"Tableau. 2018. Available from: https:\/\/www.tableau.com\/. Accessed 2018 March 05."},{"issue":"4","key":"1401_CR82","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MDT.2012.2211855","volume":"29","author":"T Weng","year":"2012","unstructured":"Weng T, Agarwal Y. From buildings to smart buildings\u2014sensing and actuation to improve energy efficiency. IEEE Des Test Comput. 2012;29(4):36\u201344.","journal-title":"IEEE Des Test Comput"},{"key":"1401_CR83","unstructured":"Cloudera. 2018 Available from: www.cloudera.com. Accessed 2018 March 05."},{"key":"1401_CR84","unstructured":"5 Most important difference between apache kafka vs flume. 2020. Available from: https:\/\/www.educba.com\/apache-kafka-vs-flume\/. Accessed  19 July  2021."},{"key":"1401_CR85","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1201\/9781003066750","volume-title":"Parallel processing in computational mechanics","author":"H Adeli","year":"2020","unstructured":"Adeli H, Vishnubhotla PR. Parallel processing and parallel machines. In: Parallel processing in computational mechanics. Boca Raton p: CRC Press; 2020. p. 1\u201320."},{"key":"1401_CR86","doi-asserted-by":"crossref","unstructured":"Agarwal Y, et al. Occupancy-driven energy management for smart building automation. In Proceedings of the 2nd ACM workshop on embedded sensing systems for energy-efficiency in building. 2010.","DOI":"10.1145\/1878431.1878433"},{"key":"1401_CR87","unstructured":"Power BI. 2018. Available from: https:\/\/powerbi.microsoft.com\/en-us\/. Accessed 2018 March 05."},{"key":"1401_CR88","unstructured":"Apache Pig. Available from: https:\/\/pig.apache.org\/. Accessed 2020 December 21."},{"key":"1401_CR89","unstructured":"Pycharm. 2018. Available from: https:\/\/www.jetbrains.com\/pycharm\/. Accessed 05 Mar 2018 ."},{"key":"1401_CR90","unstructured":"Bashir R. smartBuildings. 2017. Available from: https:\/\/github.com\/c3212218\/smartBuildings. Accessed  20 July  2021."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01401-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-022-01401-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01401-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T04:51:15Z","timestamp":1668055875000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-022-01401-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,27]]},"references-count":90,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["1401"],"URL":"https:\/\/doi.org\/10.1007\/s42979-022-01401-9","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,27]]},"assertion":[{"value":"21 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"493"}}