Editorial for FGCS special issue: Big Data in the cloud

Abstract

Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.

Application of big data technology in agricultural Internet of Things

“…The GPRS communication technology and the 3G network card in the data transmission module, respectively, transmit the environmental data and pictures to the upper computer, [32][33][34][35][36] and finally the upper computer monitoring platform stores and analyzes the received data, and uses the webpage to form tables, statistical charts, query interfaces, and so on. The form is presented on the computer user interface, and the user can view the environmental data and image images and data analysis results returned from the farmland through the webpage in real-time, thereby better providing management services for the farmland.…”

Big Data: desarrollo, avance y aplicación en las Organizaciones de la era de la Información

“…Las organizaciones han empezado a explotar estos nuevos datos con el fin de obtener beneficios (Ylijoki y Porras, 2016). Esta herramienta ayuda a estudiar los datos del pasado para volver más precisa y rentable las decisiones en la organización (Vashisht y Gupta, 2015) permitiendo la recolección, almacenamiento, análisis y dando valor agregado a los datos (Adhikari et al, 2016;Chang et al, 2016;Mihály, 2016;Verma, Verma, Sekhar Bhattacharyya y Sekhar Bhattacharyya, 2016;Zeng y Plale, 2016). En este sentido, también se está desarrollando el Open Data, el cual ha surgido como un nuevo paradigma para el modelo de prestación de servicios públicos en las ciudades inteligentes (Smart City) (López et al, 2015).…”

Concept and Application of Industrial Heritage Planning Decision in Big Data Era

“…One is the characteristics of post-industrial society is the most intuitive, most labour no longer engaged in agriculture or manufacturing, but in the service industry, such as trade finance, insurance, transportation, entertainment, education, research, and management. It also marks the Europe and other developed countries have entered the post-industrial society [7]. In twenty-first Century, the human society on a large scale from the industrial age into the information age, from industrial society to post-industrial society, from city to city in the 3 century ".…”