Authors : Vaishali Shirsath; Pragati Patil; Manaswi Jadhav; Omkar Jadhav; Sanskruti Kokare; Dr. Shreya Bokare

Volume/Issue : Volume 9 - 2024, Issue 4 - April

Google Scholar : https://tinyurl.com/bdcp9cxb

Scribd : https://tinyurl.com/25r6z3ta

DOI : https://doi.org/10.38124/ijisrt/IJISRT24APR2068

Abstract : The goal of the proposed project is to develop a billing system that is both scalable and adaptable to meet the specific needs of data replication services. Service providers will be able to accurately bill their clients using this billing module’s many capabilities, which include usage-based pricing, multi tiered billing structures, and real-time cost tracking. For the Billing Module, we will create an adaptable and expandable system architecture. varied storage technologies, including cloud based and on-premises solutions, as well as varied data replication techniques, including synchronous and asynchronous replication, will be supported by the architecture. The intricacies of data replication utilisation can be monitored using the invoicing module. This covers the amount of data involved, the frequency of replication, and the number of source and target systems. To provide accurate bills for clients, the consumption data will be gathered and processed. The billing module will handle multi tiered charging structures in order to serve a wide range of customers. It is possible to design various customer segments or pricing plans, each with a unique pricing structure and set of billing specifications. The development of an intuitive web based dashboard will enable users to view their bills, expenses, and use. In addition, historical data and budget threshold setting will be available on this dashboard. Service providers will be able to implement charging capabilities with minimal disruption because to the billing module’s seamless integration with current data replication systems. Customization choices will also be offered to companies with certain billing requirements.

Keywords : Scalable, Adaptable, Synchronous, Asynchronous Replication, Customization.

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