Time Efficient Data Migration among Clouds

TL;DR

This paper proposes a time-efficient data migration framework between clouds, utilizing Entity Framework Core and object-related mapping to minimize transmission time and costs, demonstrated through Azure and GearHost cloud experiments.

Contribution

Introduces a novel framework leveraging Entity Framework Core and object-related mapping for optimized cloud data migration with reduced transmission time.

Findings

Achieved shorter transmission times in cloud data migration.

Reduced transmission costs using the proposed framework.

Validated effectiveness through experiments on Azure and GearHost clouds.

Abstract

Cloud computing is one of the chief requirement of modern IT trade. Today's cloud industry progressively dependent on it, which lead mutually abundant solutions and challenges. Among the numerous challenges of cloud computing, cloud migration is one of the major concern, and it is necessity to design optimize solutions to advance it with time. Data migration researcher attempt to move data concerning various geographical locations, which contain huge data volumes, compact time limit and problematical architectures. Researchers aim to transfer data with minimal transmission cost and used various efficient scheduling methods and other techniques to achieve this objective. In former research struggles, numerous solution have proposed. In our proposed work, we have explored the contextual factor to accomplish shorter transmission time. Entity Framework Core technology is utilizing for conceptual modelling, mapping and sortage modelling. Meant for minimum transmission cost Object Related Mapping is designated. Desired objective to achieve time efficiency during data migration has been accomplished. Results obtained when data transmission occur among azure and gear host cloud implementation of proposed framework with some size limitations.