Abstract:
With the advancement in computing and wireless technologies, the world has witnessed a growing number of connected devices to the Internet at an unpretending rate. Fog
computing emerges as an alternative solution to reduce the burden of Data Centers in
traditional Cloud Computing and to support geographically distributed, latency sensitive,
and QoS-aware IoT appliations. Fog Computing suggests, that the intelligence should
move from the data centers to the edge of network. The main objective of this thesis is to determine the significance and feasibility of implementing a broker node between the IoT devices and the Fog networks in a healthcare application. This thesis studies different implementation scenarios and analyzes the impact of a broker on latency. Moreover, it explains when it is necessary to deploy a broker and specifies the most crucial network parameters involved in the analysis.This thesis analyzes both IoT-Fog and IoT-Broker-Fog scenarios in the context of processing delay according to the increasing number of generated packets and network service rate. Simulations of the different scenarios were done using the MATLAB version R2017a.
Description:
M.S. -- Faculty of Natural and Applied Sciences, Department of Computer Science, Notre Dame University, Louaize, 2018; "A thesis submitted in partial fulfillment of the requirements for the Master of Science"; Includes bibliographical references (leaves 64-68).