Knowledge Agora



Similar Articles

Title Block-based Realtime Big-Data Processing for Smart Cities
ID_Doc 40437
Authors Bonino, D; Rizzo, F; Pastrone, C; Soto, JAC; Ahlsen, M; Axling, M
Title Block-based Realtime Big-Data Processing for Smart Cities
Year 2016
Published
Abstract Administrators and operators of next generation cities will likely be required to exhibit a good understanding of technical features, data issues, and complex information that, up to few years ago, were quite far from day-to-day administration tasks. In the smart city era, the increased attention to data harvested from the city fosters a more informed approach to city administration, requiring involved operators to drive, direct and orient technological processes in the city, more effectively. Such an increasing need, requires tools and platforms that can easily and effectively be controlled by non-technical people. In this paper, an approach for enabling "easier" composition of real-time data processing pipelines in smart-cities is presented, exploiting a block-based design approach, similar to the one adopted in the Scratch programming language for elementary school students. Language primitives and corresponding REST representations are discussed, showing the viability of the approach. Future works will include experimentation of the proposed concepts in the context of a smart city pilot in Turin, Italy.
PDF

Similar Articles

ID Score Article
42374 Bonino, D; De Russis, L Complex Event Processing for City Officers: A Filter and Pipe Visual Approach(2018)Ieee Internet Of Things Journal, 5, 2
44209 Magano, FD; Braghetto, KR Abstracting Big Data Processing Tools for Smart Cities(2018)
39373 Alshawish, RA; Alfagih, SAM; Musbah, MS Big Data Applications in Smart Cities(2016)
38538 Silva, BN; Khan, M; Han, K Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making(2017)
Scroll