The Internet of Things (IoT) will consist of billions (50 billions by 2020) of interconnected heterogeneous devices denoted as "Smart Objects:" tiny, constrained devices which are going to be pervasively deployed in several contexts. To meet low-latency requirements, IoT applications must rely on specific architectures designed to handle the gigantic stream of data coming from Smart Objects. This paper propose a novel Cloud architecture for Big Stream applications that can efficiently handle data coming from Smart Objects through a Graph-based processing platform and deliver processed data to consumer applications with low latency. The authors reverse the traditional "Big Data" paradigm, where real-time constraints are not considered, and introduce the new "Big Stream" paradigm, which better fits IoT scenarios. The paper provides a performance evaluation of a practical open-source implementation of the proposed architecture. Other practical aspects, such as security considerations, and possible business oriented exploitation plans are presented.

A Scalable Big Stream Cloud Architecture for the Internet of Things / Belli, L.; Cirani, S.; Davoli, L.; Ferrari, G.; Melegari, L.; Monton, M.; Picone, M.. - (2018), pp. 25-53. [10.4018/978-1-5225-5649-7.ch002]

A Scalable Big Stream Cloud Architecture for the Internet of Things

Belli L.;Cirani S.;Davoli L.;Ferrari G.;Melegari L.;Picone M.
2018

Abstract

The Internet of Things (IoT) will consist of billions (50 billions by 2020) of interconnected heterogeneous devices denoted as "Smart Objects:" tiny, constrained devices which are going to be pervasively deployed in several contexts. To meet low-latency requirements, IoT applications must rely on specific architectures designed to handle the gigantic stream of data coming from Smart Objects. This paper propose a novel Cloud architecture for Big Stream applications that can efficiently handle data coming from Smart Objects through a Graph-based processing platform and deliver processed data to consumer applications with low latency. The authors reverse the traditional "Big Data" paradigm, where real-time constraints are not considered, and introduce the new "Big Stream" paradigm, which better fits IoT scenarios. The paper provides a performance evaluation of a practical open-source implementation of the proposed architecture. Other practical aspects, such as security considerations, and possible business oriented exploitation plans are presented.
9781522556497
9781522556503
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2878878
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