https://home.roboticlab.eu/ 2026-04-04T19:42:48+00:00 https://home.roboticlab.eu/ https://home.roboticlab.eu/_media/wiki/logo.png text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/cfe?rev=1595235600&do=diff Infrastructure and Architectures for Iot Data Processing: Cloud, Fog, and Edge Computing [ From https://erpinnews.com/fog-computing-vs-edge-computing] The IoT generates a vast amount of big data, and this, in turn, puts a huge strain on Internet Infrastructure. As a result, this forces companies to find solutions to minimise the pressure and solve their problem of transferring large amounts of data. Cloud computing has entered the mainstream of information technology, providing scalability in th… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_gen_domain?rev=1595235600&do=diff Main IoT Domains Generating Data The emergence of new information sources indispensably affects the data centre market, and it has experienced structural changes in recent years. Indeed, information technology tends to go beyond processing data in traditional data centres and opt for cloud-centric ones. In just a few years, only 8 % of overall workloads will be handled by old-school data centres. text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_lifecycle?rev=1595235600&do=diff IoT Data Lifecycle Data processing is simply the conversion of raw data to meaningful information through a process. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. Similar to a production process, it follows a cycle where inputs (raw data) are fed to a process (computer systems, software, etc.) to produce output (information and insights). Generally, organisations employ computer systems to carry out a series of operation… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_processing_models_frameworks?rev=1595235600&do=diff IoT Data Processing Models and Frameworks Processing frameworks and processing engines are responsible for computing over data in a data system. While there is no authoritative definition setting apart “engines” from “frameworks”, it is sometimes useful to define the former as the actual component responsible for operating on data and the latter as a set of elements designed to do the same. For instance, Apache Hadoop can be considered a processing framework with MapReduce as its default proces… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_semantics?rev=1595235600&do=diff IoT Data Semantics With some 25 billion devices expected to be connected to the Internet by 2015 and 50 billion by 2020, providing interoperability among the things on the IoT is one of the most fundamental requirements to support object addressing, tracking, and discovery as well as information representation, storage, and exchange. text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_sources?rev=1595235600&do=diff IoT Data Sources As the IoT gets more involved in various domains and types of operations, a countless number of its data sources generate immense volumes of data. All the sources can be roughly divided into three groups. Passive Sources They are sensors that do not communicate actively and send the required information to the centralised management system only on demand. For instance, sensors that make atmospheric measurements produce data when text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/data_storage_models_frameworks?rev=1595235600&do=diff IoT Data Storage Models and Frameworks The increasing volumes of heterogeneous unstructured IoT data have also led to the emergence of several solutions to store these overwhelming datasets and support appropriate data management. * NoSQL databases are often used for storing IoT big data. It is a new type of database which is becoming more and more popular among web companies today. Proponents of NoSQL solutions state that they provide more straightforward scalability and improved performanc… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/intro?rev=1595235600&do=diff Data and Information Management in the Internet of Things At the centre of the IoT ecosystem consisting of billions of connected devices is the wealth of information that can be made available through the fusion of data that is produced in real-time, as well as data stored in permanent repositories. This information can make the realisation of innovative and unconventional applications and value-added services possible and will act as an immense source for trend analysis and strategic business… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/iotdatavsdb?rev=1595235600&do=diff IoT Data Management Versus Traditional Database Management Systems Based on the IoT data lifecycle discussed earlier, we divide an IoT data management system into i) an online (i.e. real-time) front-end that interacts directly with the interconnected IoT objects and sensors, and ii) an offline back-end that handles the mass storage and in-depth analysis of the IoT data. The data management frontend is communication-intensive, as it involves the propagation of query requests and result to and fr… text/html 2020-07-20T09:00:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/iot-open/data/prova?rev=1595235600&do=diff IoT Data Visualisation One of the challenges for the IoT industry is data analysis and interpretation. Big data generated by the IoT devices is impractical if it cannot be translated into a language that is easy to understand, process and present a visual language. For this reason, IoT data visualisation is becoming an integral part of the IoT. Data visualisation provides a way to display this avalanche of collected data in meaningful ways that clearly present insights are hidden within this ma…