Towards specification of a software architecture for cross-sectoral big data applications

Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vassilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien Etienne Mascolo, Lidija Fodor, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Evangelia Kavakli, Despina Kopanaki, Nicolas Kourtellis, Mario Maawad Marcos, Ramon Martin De Pozuelo, Nemanja Milosevic, Giuditta MorandiEnric Pages Montanera, Gerald Ristow, Rizos Sakellariou, Raul Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

3 Cites (Scopus)

Resum

The proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains like banking, telecommunications, etc., where strict regulations make very difficult to upload and experiment with real data on external cloud resources. In addition, most Big Data research and development efforts aim to address the needs of IT experts, while Big Data analytics tools remain unavailable to non-expert users to a large extent. In this paper, we report on the work-in-progress carried out in the context of the H2020 project I-BiDaaS (Industrial-Driven Big Data as a Self-service Solution) which aims to address the above challenges. The project will design and develop a novel architecture stack that can be easily configured and adjusted to address cross-sectoral needs, helping to resolve data privacy barriers in sensitive domains, and at the same time being usable by non-experts. This paper discusses and motivates the need for Big Data as a self-service, reviews the relevant literature, and identifies gaps with respect to the challenges described above. We then present the I-BiDaaS paradigm for Big Data as a self-service, position it in the context of existing references, and report on initial work towards the conceptual specification of the I-BiDaaS software architecture.

Idioma originalAnglès
Títol de la publicacióProceedings - 2019 IEEE World Congress on Services, SERVICES 2019
EditorsCarl K. Chang, Peter Chen, Michael Goul, Katsunori Oyama, Stephan Reiff-Marganiec, Yanchun Sun, Shangguang Wang, Zhongjie Wang
EditorInstitute of Electrical and Electronics Engineers Inc.
Pàgines394-395
Nombre de pàgines2
ISBN (electrònic)9781728138510
DOIs
Estat de la publicacióPublicada - de jul. 2019
Publicat externament
Esdeveniment2019 IEEE World Congress on Services, SERVICES 2019 - Milan, Italy
Durada: 8 de jul. 201913 de jul. 2019

Sèrie de publicacions

NomProceedings - 2019 IEEE World Congress on Services, SERVICES 2019

Conferència

Conferència2019 IEEE World Congress on Services, SERVICES 2019
País/TerritoriItaly
CiutatMilan
Període8/07/1913/07/19

Fingerprint

Navegar pels temes de recerca de 'Towards specification of a software architecture for cross-sectoral big data applications'. Junts formen un fingerprint únic.

Com citar-ho