servIoTicy and iServe: A Scalable Platform for Mining the IoT | Zendy

Álvaro Villalba | Zendy; Juan Luis Pérez-Ordóñez | Zendy; David Carrera | Zendy; Carlos Pedrinaci | Zendy; Luca Panziera | Zendy

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servIoTicy and iServe: A Scalable Platform for Mining the IoT

Author(s) -

Álvaro Villalba,

Juan Luis Pérez-Ordóñez,

David Carrera,

Carlos Pedrinaci,

Luca Panziera

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.097

Subject(s) - computer science , scalability , cloud computing , big data , internet of things , software deployment , data science , world wide web , publication , database , data mining , software engineering , operating system , advertising , business

In the last years, Internet of Things (IoT) and Big Data platforms are clearly converging in terms of technologies, problems and approaches. IoT ecosystems generate a vast amount of data that needs to be stored and processed, becoming a Big Data problem. In this paper we present a platform that is specifically designed for mining the information associated to the IoT, including both sensors data and meta-data. The platform is composed of two major components: servIoTicy for storing and processing data, and iServe for the publication and discovery of sensors meta-data. The former provides capabilities to ingest, transform on real time and query data generated by sensors; the latter provides capabilities to publish, discover and use sensors based on semantic information associated to them. Both components are clearly designed for scalability, as any IoT cloud deployment requires. Both servIoTicy and iServe are available as an open source projects

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