Tanmaya Mahapatra
Ilias Gerostathopoulos
ABSTRACT
The increasing number and sensing capabilities of connected devices offer unique opportunities for developing sophisticated applications that employ data analysis as part of their business logic to make informed decisions based on sensed data. So far, mashup tools have been successful in supporting application development for Internet of Things. At the same time, Big Data analytics tools have allowed the analysis of very large and diverse data sets. The problem is that there is no consolidated development approach for integrating the two fields, IoT mashups and Big Data analytics. Such integration should go beyond merely specifying IoT mashups that only act as data providers. Mashup developers should also be able to specify Big Data analytics jobs and consume their results within a single application model. In this paper, we contribute to the direction of integrating Big Data analytics with IoT mashup tools by highlighting the need for such integration and the challenges that it entails via concrete examples. We also provide a research and development roadmap that can pave the way forward.
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