Authors: Kamalakar Karlapalem, P. Radha Krishna
Tags: 2017, conceptual modeling
Internet of Things (IoT) technologies advance physical objects capabilities regarding programmable, sensor-based and connected. Today’s smart applications leverage IoT technologies that enable collaboration between different entities involved in the application. Further, smart applications provide local intelligence attached each device/physical object. The nature of an IoT application usually differs from time-to-time due to varied context and end-device sensing/response. The key issue is that of understanding the data and control flows which govern the processes that act on the sensed data all the way up to end user application. So, conceptually modeling of data, control and process flow for IoT-driven smart applications is more challenging, especially when further modeling the context and exceptions arise during the execution. In this paper, we discuss an architectural framework for IoT-driven smart applications that facilitate monitoring and managing data, control and process flows. We provide a vertically and horizontally integrated enactment of data modeling for smart solutions.Read the full paper here: https://link-springer-com.proxy2.hec.ca/chapter/10.1007/978-3-319-69904-2_32
