Title: Cost-effective data replication mechanism modelling for cloud storage

Authors: Khalid Zaman; Altaf Hussain; Muhammad Imran; Muhammad Sohail

Addresses: Information Engineering School, Chang'an University, Xi'an, Shaanxi, China ' Institute of Computer Sciences and Information Technology, The University of Agriculture Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan ' Institute of Computer Sciences and Information Technology, The University of Agriculture Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan ' Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan

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.

Keywords: azure solution; cloud computing; SaaS; IaaS; PaaS; data replication and reproducer.

DOI: 10.1504/IJGUC.2022.128319

International Journal of Grid and Utility Computing, 2022 Vol.13 No.6, pp.652 - 669

Received: 29 Jun 2022
Received in revised form: 20 Sep 2022
Accepted: 25 Sep 2022
Published online: 17 Jan 2023 *

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