DM Based Multi-Tenant Framework to Perform Migration in Cloud Environment

Amazon Web Services, or AWS, is an easy-touse, flexible, and reasonably priced cloud platform. Many Amazon Web Services (AWS) customers use RDBMS, or relational database management systems. Deploying and setting up relational database management systems is made easier with Oracle Database on AWS. Relational Database Service (RDS) by Amazon allows users to manage Oracle databases. These challenges are distilled into a Service Level Agreement (SLA) that specifies the standards for the quality of service provided to tenants. In addition, SLA needs to think about how renters' irregular workload patterns can affect the level of assurance. In order to address the issue mentioned before, the recommended strategy involves operating Oracle Database on an Amazon RDS-based Multi-Tenant system and reaping the benefits of it. This TransDB approach facilitates Oracle database deployment and monitoring, as well as efficient framework management in Amazon RDS with enhanced scalability, performance, backup/recovery, availability, and security. Analyzed performance metrics include CPU, memory, and network throughput; resources may be instantly resized; and the network topology is provisioned to ensure increased security. When put up against established strategies like Allocation and the MTM method, the suggested approach proves to be the superior choice.

Authors

Publication Details

Journal
International Research Journal of Innovations in Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.47001/irjiet/2025.904010
Citations
2
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
6.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DM Based Multi-Tenant Framework to Perform Migration in Cloud Environment

Mohammed A. Shaik
2 citations
International Research Journal of Innovations in Engineering and Technology
Cloud Computing and Resource Management
6.49
article

DM Based Multi-Tenant Framework to Perform Migration in Cloud Environment

Mohammed A. Shaik
article en
2 citations

Abstract

Amazon Web Services, or AWS, is an easy-touse, flexible, and reasonably priced cloud platform. Many Amazon Web Services (AWS) customers use RDBMS, or relational database management systems. Deploying and setting up relational database management systems is made easier with Oracle Database on AWS. Relational Database Service (RDS) by Amazon allows users to manage Oracle databases. These challenges are distilled into a Service Level Agreement (SLA) that specifies the standards for the quality of service provided to tenants. In addition, SLA needs to think about how renters' irregular workload patterns can affect the level of assurance. In order to address the issue mentioned before, the recommended strategy involves operating Oracle Database on an Amazon RDS-based Multi-Tenant system and reaping the benefits of it. This TransDB approach facilitates Oracle database deployment and monitoring, as well as efficient framework management in Amazon RDS with enhanced scalability, performance, backup/recovery, availability, and security. Analyzed performance metrics include CPU, memory, and network throughput; resources may be instantly resized; and the network topology is provisioned to ensure increased security. When put up against established strategies like Allocation and the MTM method, the suggested approach proves to be the superior choice.

International Research Journal of Innovations in Engineering and TechnologyVol. 09(04)
Openalex Percentile: Top 4%
Cloud Computing and Resource Management
6.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.