Cloud provider profit-aware and triadic concept analysis-based data replication strategy for tenant performance improvement. (12th January 2021)

• Record Type: Journal Article
• Authors: Khelifa, Amel; Hamrouni, Tarek; Mokadem, Riad; Charrada, Faouzi Ben
• Is Part Of: International journal of high performance computing and networking. Volume 16:Number 2/3(2020)
• Page Start: 67
• Page End: 86
• Publication Date: 2021-01-12
• Subjects: replication -- cloud provider -- data correlation -- profit -- economic model -- triadic concept; High performance computing -- Periodicals; Computer networks -- Periodicals; High performance computing; Periodicals; 004.05
• Languages: English
• ISSNs: 1740-0562

Abstract

Effective data management is very challenging to cloud providers, whose business model relies on maintaining an economic profit while satisfying the tenants' performance requirements. To address these challenges, many data replication strategies have been proposed. In this paper, we propose a new dynamic data replication strategy for cloud systems called RCPP 1 . In order to satisfy performance requirements, the proposed strategy exploits the valuable knowledge extracted from the tenants' past access history. Therefore, it uses the mathematical triadic concept analysis approach to determine correlated data to be replicated. Furthermore, the cloud provider's profit is taken into account. Hence, an economic model is proposed to estimate the revenues and expenditures of the provider. Experimental studies show the efficiency and effectiveness of RCPP compared to state-of-the-art strategies. RCPP is indeed proven able to reduce the total expenditures of the cloud provider significantly while achieving better performances.