Improving QoS Parameters in Fog Computing Environment using QCSO Framework

Abstract

Cloud computing is a complex infrastructure because heterogeneous devices are involved to share the resources on it. In recent years, the Internet of Things (IoT) is being used by a huge number of different devices which create large amounts of data. Due to their remote location, IoT devices create delays in processing the data. To ensure the Quality of Service (QoS) of the network, the real time applications need low latency and high bandwidth which in turn improves the quality of life. To solve this problem, Fog Computing (FC) is introduced which plays a vital role in computing paradise. Fog computing processes the request locally and uses available resources to reduce the latency and enhance the technological innovation and capabilities. To allocate and manage the resources is the primary goal of fog computing. To achieve this, Queuing theory method is used in which tasks are assigned to the resources. Proposed study presents an algorithm named Queue-Cuckoo Search Optimization Framework (QCSOF) to improve the quality of service through resource optimization. The aim of the proposed framework is to enhance resource allocation, energy utilization.