A DFA‐based approach for the deployment of BPaaS fragments in the cloud. (20th November 2018)

• Record Type: Journal Article
• Authors: Hedhli, Ameni; Mezni, Haithem
• Is Part Of: Concurrency and computation. Volume 32:Number 14(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-11-20
• Subjects: BPaaS placement -- business process as a service -- cloud computing -- DNA fragment assembly -- genetic algorithm; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5075
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Cloud computing is an emerging technology that is largely adopted by the current computing industry. With the growing number of Cloud services, Cloud providers' main focus is how to best offer efficient services (eg, SaaS, BPaaS, mobile services, etc) in order to hook the eventual customers. To meet this goal, services arrangement and placement in the cloud is becoming a serious problem because an optimal placement of these applications and their related data in accordance with the available resources can increase companies' benefits. Since there is a widespread deployment of business processes in the cloud, the hereinafter conducted research works aim to enhance the business processes' outsourcing by providing an optimized placement scheme that would attract cloud customers. In the light of these facts, the purpose of this paper is to deal with the BPaaS placement problem while optimizing both the total execution time and cloud resources' usage. To do so, we first determine the redundant BPaaS fragments using a DNA Fragment Assembly technique. We apply a variant of the Genetic Algorithm to resolve it. Then, we propose a placement algorithm, which produces an optimized placement scheme on the basis of the determined fragments relations. We follow that by an implementation of the whole placement process and a set of experimental results that have shown the feasibility and efficiency of the proposed approach.