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Internet of things is a network of objects mainly supported by electronic devices and electronic components such as sensors and electronic cards. These objects can be physical and virtual devices, sensors or actuators, are autonomous and have their own intelligence characteristics. On the other hand, smart environments are those in which sensors and actuators have been integrated, to react to events and to adapt to those present. The environment acquires intelligence through its intelligent components, or through the intelligence resulting from its interaction with other components. Our contribution is a proposal of Cognitive IoT (CIoT) devices structure by adding an agent layer to the device. Such layer provides the device with agent characteristics (intelligence, autonomy, cooperation and organization).

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The emergence of large volumes of data imposed by the major players of the web requires new management models and new data storage architectures and treatment able to find information quickly in a large volume of data. The column-oriented NoSQL (Not Only SQL) database provide for big data the most suitable model to the data warehouse and the structure of multidimensional data in OLAP cube form. However, in the absence of OLAP cube computation operators, we propose in this paper, a new aggregation operator called CN-CUBE (Columnar NoSQL CUBE), which allows data cubes to be computed from data warehouses stored in column-oriented NoSQL database management system. We implemented the CN-CUBE operator using the SQL Phoenix interface of HBase DBMS and conducted experiments on a public data warehouse in a distributed environment produced using the Hadoop platform. Thus we have shown that our CN-CUBE operator has OLAP cubes computation times very suitable for NoSQL warehouses.

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