Abstract
Infrastructure of fog is a complex system due to the large number of heterogeneous resources that need to be shared. The embedded devices deployed with the Internet of Things (IoT) technology have increased since the past few years, and these devices generate huge amount of data. The devices in IoT can be remotely connected and might be placed in different locations which add to the network delay. Real time applications require high bandwidth with reduced latency to ensure Quality of Service (QoS). To achieve this, fog computing plays a vital role in processing the request locally with the nearest available resources by reduced latency. One of the major issues to focus on in a fog service is managing and allocating resources. Queuing theory is one of the most popular mechanisms for task allocation. In this work, an efficient model is designed to improve QoS with the efficacy of resource allocation based on a Queuing Theory based Cuckoo Search (QTCS) model which will optimize the overall resource management process.
Highlights
The fog computing is a modern yardstick for the vibrant provision of the amenities of calculating recent data cores which naturally exercises the technology of virtual machine (VM) amalgamation and environment severance [1]
This can be used as a model for creating the utilization of CPU according to the requirement randomly
The proposed Queuing Theory based Cuckoo Search (QTCS) model was implemented in real time fog environment for allocating the resources quickly and dynamically
Summary
The fog computing is a modern yardstick for the vibrant provision of the amenities of calculating recent data cores which naturally exercises the technology of virtual machine (VM) amalgamation and environment severance [1]. This type of computing is used because cloud computing is not feasible for many Internet of Things (IoT) applications [2]. Security, competent load balancing, data-center energy consumption, service availability, data lock-in, resource scheduling, and QoS management are encountered during fog computing deployment. An optimal resource allocation is required in highly congested queueing systems
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