publication . Article . 2018

Integration of IoT, Transport SDN, and Edge/Cloud Computing for Dynamic Distribution of IoT Analytics and Efficient Use of Network Resources

Raul Munoz; Ricard Vilalta; Noboru Yoshikane; Ramon Casellas; Ricardo Martinez; Takehiro Tsuritani; Itsuro Morita;
  • Published: 01 Apr 2018 Journal: Journal of Lightwave Technology, volume 36, issue 7, pages 1,420-1,428 (issn: 0733-8724, eissn: 1558-2213, Copyright policy)
Internet of Things (IoT) requires cloud infrastructures for data analysis (e.g., temperature monitoring, energy consumption measurement, etc.). Traditionally, cloud services have been implemented in large datacenters in the core network. Core cloud offers high-computational capacity with moderate response time, meeting the requirements of centralized services with low-delay demands. However, collecting information and bringing it into one core cloud infrastructure is not a long-term scalable solution, particularly as the volume of IoT devices and data is forecasted to explode. A scalable and efficient solution, both at the network and cloud level, is to distribu...
free text keywords: IoT analytics, transport SDN, cloud orchestration, Atomic and Molecular Physics, and Optics, Network packet, Edge computing, Orchestration (computing), Mathematics, Analytics, business.industry, business, Core network, Distributed computing, Cloud computing, Electronic engineering, Big data, Software-defined networking
Funded by
Fifth Generation Communication Automotive Research and innovation
  • Funder: European Commission (EC)
  • Project Code: 761510
  • Funding stream: H2020 | RIA
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