A Graph-Based Cloud Architecture for Big Stream Real-Time Applications in the Internet of Things

  • Laura Belli
  • Simone Cirani
  • Gianluigi Ferrari
  • Lorenzo Melegari
  • Marco Picone
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 508)


The Internet of Things (IoT) will consist of billions of interconnected heterogeneous devices denoted as “smart objects.” Smart objects are generally sensor/actuator-equipped and have constrained resources in terms of: (i) processing capabilities; (ii) available ROM/RAM; and (iii) communication reliability. To meet low-latency requirements, real-time IoT applications must rely on specific architectures designed in order to handle and process gigantic (in terms of number of sources of information and rate of received data) streams of data coming from smart objects. We refer to this smart object-generated data stream as “Big Stream,” in contrast to traditional “Big Data” scenarios, where real-time constraints are not considered. In this paper, we propose a novel Cloud architecture for Big Stream applications that can efficiently handle data coming from deployed smart objects through a graph-based processing platform and deliver processed data to consumer applications with lowest latency.


Internet of Things Cloud Real-time applications Processing graph 



The work of Simone Cirani and Gianluigi Ferrari is funded by the European Community’s Seventh Framework Programme, area “Internetconnected Objects”, under Grant no. 288879, CALIPSO project - Connect All IP-based Smart Objects. The work reflects only the authors views; the European Community is not liable for any use that may be made of the information contained herein. The work of Laura Belli is supported by Multitraccia SC. The work of Marco Picone is supported by Guglielmo srl.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Laura Belli
    • 1
  • Simone Cirani
    • 1
  • Gianluigi Ferrari
    • 1
  • Lorenzo Melegari
    • 1
  • Marco Picone
    • 1
  1. 1.Wireless Ad-Hoc and Sensor Network Laboratory, Department of Information EngineeringUniversity of ParmaParmaItaly

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