Paper 2

OpenCEMS: An Open Solution for Easy Data Management in Connected Environments

Authors: Richard Chbeir, Elio Mansour, Sabri Allani, Taoufik Yeferny, Jean-Raphael Richa, Farid Yessoufou et al.

Volume 52 (2022)

Abstract

Automating the life cycle of data management projects is a challenging issue that has attracted the interest of both academic researchers and industrial companies. Therefore, several commercial and academic tools have been proposed to be used in a broad range of contexts. However, when dealing with data generated from connected environments (e.g., smart homes, cities), the data acquisition and management becomes more complex and heavily dependant on the environmental context thus rendering traditional tools less efficient and appropriate. In this respect, we introduce here OpenCEMS, an open platform for data management and analytics that can be used in various application domains and contexts, and more specifically in designing connected environments and analysing their generated/simulated data. Indeed, OpenCEMS provides a wide array of functionalities ranging from data pre-processing to post-processing allowing to represent and manage data from the different components of a connected environment (e.g., hardware, software) and to define the interactions between them. This allows to both simulate data with respect to different parameters as well as to contextualise collected data from the connected devices (i.e., consider environmental/sensing contexts). In this paper, we compare OpenCEMS with existing solutions and show how data is represented and processed.

Keywords

Data analytics, Connected environments