ABSTRACT
The current technology has permeated everything people do in their day-to-day activities. Since the introduction of the term “Internet of Things” (IoT ) by Ashton, this concept has become a hot topic in almost all fields. As more and more people use Internet for business, recreation, education, health care, and other purposes, it is not surprising to see the exponential explosion in the number of devices being used. While IoT has been studied in many perspectives such as cloud layer, fog layer, and device layer, the key thing in IoT is to apply analytic to big data to get insights and take appropriate actions promptly. One of the main purposes of IoT analytic is to create and sustain smarter environments such as smarter homes, smarter hospitals, smarter service sectors, and so on to provide timely and quality services to people. Toward this end, one has to develop suitable queueing models.
