Business Information Architecture for Big Data and Internet of Things

Even though several architectures have been in existence for over a decade, a new research model has to be created in order to solve the requirements (volume, velocity, and variety) and constraints that affect the intelligence of smart environments. Thus, the merge of computing technologies has made the collection of Big Data (BD) possible from the Internet of Things (IoT) devices. Data do not include only the information about the environments, but also the daily changes of information and so forth. In this context, We propose new business information architecture for BD and IoT (BDIoT). The proposed architecture uses context-aware computing and combines the Data WareHhouse (DWH) and Data Lake (DL) in order to benefit computing mechanisms. The BDIoT architecture is validated through use case related to E-health service (Alzheimer’s disease).

[1]  Houbing Song,et al.  Internet of Things and Big Data Analytics for Smart and Connected Communities , 2016, IEEE Access.

[2]  Mouzhi Ge,et al.  Big Data for Internet of Things: A Survey , 2018, Future Gener. Comput. Syst..

[3]  Prem Prakash Jayaraman,et al.  Dynamic configuration of sensors using mobile sensor hub in internet of things paradigm , 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[4]  Yangyong Zhu,et al.  The Challenges of Data Quality and Data Quality Assessment in the Big Data Era , 2015, Data Sci. J..

[5]  Mumbai,et al.  Internet of Things (IoT): A Literature Review , 2015 .

[6]  Lakshmi S. Iyer,et al.  Business Analytics in the Context of Big Data: A Roadmap for Research , 2015, Commun. Assoc. Inf. Syst..

[7]  Arkady B. Zaslavsky,et al.  Capturing sensor data from mobile phones using Global Sensor Network middleware , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[8]  Paul Zikopoulos,et al.  Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data , 2011 .

[9]  Robert Stackowiak,et al.  Big Data and The Internet of Things: Enterprise Information Architecture for A New Age , 2015 .

[10]  Sebastian Kotstein,et al.  Reality Mining in Sensor-based Mobile-driven Environments , 2016, DEC.

[11]  Ayoub Ait Lahcen,et al.  Big Data technologies: A survey , 2017, J. King Saud Univ. Comput. Inf. Sci..

[12]  Andreea Matacuta,et al.  Big Data Analytics: Analysis of Features and Performance of Big Data Ingestion Tools , 2018 .

[13]  Kathryn Ziegler-Graham,et al.  Forecasting the global burden of Alzheimer’s disease , 2007, Alzheimer's & Dementia.

[14]  Valery V. Korotaev,et al.  A Reference Model for Internet of Things Middleware , 2018, IEEE Internet of Things Journal.

[15]  Carlos E. Palau,et al.  A Smart System for Sleep Monitoring by Integrating IoT With Big Data Analytics , 2018, IEEE Access.

[16]  Naveen Prakash,et al.  Requirements Engineering for Data Warehousing , 2018 .

[17]  Rajkumar Buyya,et al.  Fog-Based Smart Healthcare as a Big Data and Cloud Service for Heart Patients Using IoT , 2018, International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018.

[18]  H. Braak,et al.  Staging of Alzheimer-related cortical destruction. , 1997, International psychogeriatrics.

[19]  Erdogan Dogdu,et al.  Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey , 2018, IEEE Internet of Things Journal.

[20]  Gunasekaran Manogaran,et al.  A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system , 2017, Future Gener. Comput. Syst..

[21]  Partha Pratim Ray.  A survey on Internet of Things architectures , 2018, J. King Saud Univ. Comput. Inf. Sci..

[22]  Prem Prakash Jayaraman,et al.  MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices , 2013, 2014 47th Hawaii International Conference on System Sciences.