Cost-effective data replication mechanism modelling for cloud storage. (12th January 2023)

• Record Type: Journal Article
• Authors: Zaman, Khalid; Hussain, Altaf; Imran, Muhammad; Sohail, Muhammad
• Is Part Of: International journal of grid and utility computing. Volume 13:Number 6(2022)
• Page Start: 652
• Page End: 669
• Publication Date: 2023-01-12
• Subjects: azure solution -- cloud computing -- SaaS -- IaaS -- PaaS -- data replication and reproducer; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Replication increases data availability and reduces access latency in cloud storage. Solutions prioritise system performance over replica production and storage costs. Under a pay-as-you-go model, cloud users incur rising fees for replica storage and consistency management. Before expanding node copies, we outline a dynamic replication technique. The suggested technique concentrates resources for effective distribution across all nodes. The cost-effectiveness of the proposed model is determined using threshold values; the proposed system reduced cloud replicas, reducing costs. Azure's $6 static solution has three nodes. The adaptive data replication management system reduces copies from three to two, saving memory and reducing price from $6 to $4. MATLAB and other programming languages are used. Azure is compared to Date Replication and Reproducer (DRR). The proposed solution is cheaper than Azure with three replicates.