IoT and cloud are the fastest growing technologies today. The convergence
of IoT and cloud opens up various new horizons. In the last few years, this convergence
of IoT and cloud architecture has dominated not only the research field but also the
business sector. The compatibility of these two entirely versatile ideas is their ability to
manage the app, user interfaces, and the data stream simultaneously, especially in a
high-performance support structure. But along with the advantages comes some
disadvantages as well. The major concerns in the IoT - cloud convergence are privacy
and security. Therefore, confidentiality must be maintained at all costs. The chapter
discusses some prime benefits of IoT and cloud convergence issues and also the
challenging concerns of those. This chapter discusses the issues concerned with IoT -
cloud convergence and possible solutions to overcome those issues. Later privacy
issues of IoT are presented. Then, a case study denoting a pathology tracking model
using big data analytics is presented in detail.
Keywords: Big data, Cloud, Extreme Learning Machine, Healthcare, Internet of Things (IoT), Voice Pathology.
