Abstract
The advancement of internet technology along with the high adoption rate of various IoT devices with various emergent IoT applications has put stringent quality of service (QoS) and quality of experience (QoE) requirements on the service provider. The existing IoT-cloud model cannot effectively and efficiently cater to the QoS and QoE requirements of these IoT applications due to low bandwidth and high propagation delay between the IoT device layer to the cloud data center. In order to meet the stringent requirement of healthcare IoT applications, it is essential to adopt a new computing paradigm that could process these latency-sensitive IoT applications. The requests generated through various sensors yield mostly random and dynamic changes; hence, finding the optimal fog resources for the processing and execution is a challenge. In this chapter, the authors have formulated an optimization model for multiple healthcare IoT application placement problems in fog computing architecture.
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