Paper Info
Title
Multi-criteria--based Dynamic User Behaviour--aware Resource Allocation in Fog Computing
Abstract
AbstractFog computing is a promising computing paradigm in which IoT data can be processed near the edge to support time-sensitive applications. However, the availability of resources in computation devices is not stable, since they may not be exclusively dedicated to the Fog application processing in the Fog environment. This, combined with dynamic user behaviour, can affect the execution of applications. To address dynamic changes in user behaviour in resource-limited Fog devices, this article proposes a multi-criteria–based resource allocation policy with resource reservation to minimise overall delay, processing time, and SLA violations. This process considers Fog computing–related characteristics, such as device heterogeneity, resource constraints, and mobility, as well as dynamic changes in user requirements. We employ multiple objective functions to find appropriate resources for executing time-sensitive tasks in the Fog environment. Experimental results show that our proposed policy performs better than the existing one, reducing the total delay by 51%. The proposed algorithm also reduces processing time and SLA violations, which is beneficial for running time-sensitive applications in the Fog environment.
Year
DOI
Venue
2020
10.1145/3423332
ACM Transactions on Internet of Things
DocType
Volume
Issue
Journal
2
1
ISSN
Citations 
PageRank 
2691-1914
2
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Ranesh Kumar Naha120.35
Saurabh Kumar Garg220.35