Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41279

Fast Prototyping of the Internet of Things solutions with IBM Bluemix

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Title: Fast Prototyping of the Internet of Things solutions with IBM Bluemix
Authors: Popov, Aleksey
Proletarsky, Andrey
Belov, Sergey
Sorokin, Alexander
Keywords: Internet of Things
Cloud
Bluemix
Hackathon
University
Issue Date: 04 Jan 2017
Abstract: Fast prototyping for IoT projects has gained attraction in many industries. Today's IT market requires new faster techniques to get business advantages in different industries starting from the energy consumption and retail to the manufacturing, services, and agriculture. Combining sensors and actuators, embedded systems and networks with cloud computing platforms and cognitive services in one project is a very promising approach to address industry needs. Thus, system developers have to be familiar with many design technologies and best practices. At the same time, this approach requires a profound change in the way of interaction between major IoT market actors: suppliers and consumers of cloud platfоrm and services, teams of developers and universities. In this paper, we analyze how to build effectively interaction of major IoT market actors and discuss a platform for such collaboration. We present a collaborative framework for fast prototyping of IoT solutions with different stakeholders participating. The paper demonstrates the results of this approach in the case of interaction between vendor, university, and industry. We consider a number of technological and practical aspects of this collaborative framework using IBM Bluemix cloud platform and IoT templates. We tested this approach in IoT hackathon with a participation of a vendor, local business partners, and industry representatives. Projects developed during this hackathon will be used to illustrate results achieved by applying introduced concept for IoT solutions prototyping.
Pages/Duration: 9 pages
URI/DOI: http://hdl.handle.net/10125/41279
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.126
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Business Intelligence, Analytics and Cognitive: Case Studies and Applications (COGS) Minitrack



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