QoE Aware Application Placement in Fog Environment Using SAW Game Theory Method

Abstract

Today, Fog computing plays an essential role in Human life. One of the challenges in the Fog and Cloud environment is hierarchical service process; requests are sent to Fog, and if Fog is unable to provide service, they are sent to Cloud, which is a time-consuming process. This paper presents a framework that specifies when a request is sent, in which environment it can be serviced, and provides interfaces to properly manage nodes and domains and manage the service of requests. In these administrative interfaces, the most suitable domain is determined using SAW method of Game Theory and user expectations for placing the application. Then the gateway of the specified domain suggests the most appropriate node using PSO algorithm. Because the application placement is based on the expectations of the users, it increases the QoE. The proposed method is implemented in the iFogSim and its results have been evaluated with authentic articles. It was observed proposed method has better performance and better service speed than the state-of-the-art research works and a significant improvement in service response time.

Novel Particle Bee Optimisation based Framework for Fault Tolerance in Fog Environment

“…They also recognized recent challenges and issues in fog frameworks i.e confront to real world challenges and their optimized solutions . In [11], authors have described the various QoE and QoS service placement and application placement schemes and policies in the real time and heterogeneous environment .…”