  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.
