Paper Info
Title
Optimizing the Performance of Timed-Constrained Business Processes in Cloud-Fog Environment.
Abstract
Fog computing has emerged as a promising paradigm which aims to solve several problems of Cloud based systems. It aims to reduce the financial cost as well as the transmission latency compared to Cloud resources. One of the key issues in a Cloud-Fog environment is how to find the assignment of business process tasks to the most suitable resources while seeking the trade-off between cost and execution time. Business processes are often constrained by hard timing constraints which are specified by the designer. To address such a problem, we propose in this paper two resource allocation algorithms. The first one is based on an exact solution that aims to provide an optimal assignment. However, the second represents a meta-heuristic solution which uses the particle swarm optimization (PSO) technique. Our algorithms aim to optimize the financial cost of Cloud-Fog resources while satisfying the time constraint of the business process. A set of simulation experiments are presented to illustrate the performance of the approach.
Year
DOI
Venue
2019
10.1007/978-3-030-32213-7_6
Communications in Computer and Information Science
Keywords
Field
DocType
Business process,Resource allocation,Cloud computing,Fog computing,Time constraints
Business process,Computer science,Distributed computing,Cloud computing
Conference
Volume
ISSN
Citations 
1085
1865-0929
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Fairouz Fakhfakh101.35
Ahemd Neji200.34
Saoussen Cheikhrouhou300.34
Slim Kallel400.34