This study explores the creation of an efficient data transfer mechanism for mobile devices
utilizing the Mobile Cloud Computing (MCC) paradigm. MCC merges mobile and cloud
computing, allowing users to capitalize on cloud resources for processing, storage, and
communication functions. A significant challenge in mobile device communication is the
dependency on device proximity, which restricts data sharing. This study seeks to address these
limitations by enhancing reliable data access, reducing latency, and lowering energy
consumption during communication between mobile devices through cloud-based solutions.
IJCSMT
IJCSMT
The research objectives involve investigating the connections between data localization,
accessibility, and user experience, as well as how these aspects influence data access efficiency
in MCC. Moreover, a predictive model is developed to dynamically balance the trade-off
between data accessibility and locality, taking into account user demand, data access behaviors,
and application needs. The study also analyzes the trade-offs between data replication and
access efficiency, proposing a comprehensive strategy to ensure effective data access while
managing replication costs. Additionally, the effectiveness of current data caching techniques is
evaluated, with suggestions for enhancements to adapt to changing data access patterns in MCC
settings.
The research methodology consists of gathering primary data through questionnaires distributed
both online and in print to participants in selected institutions in the North-Western region of
Nigeria. The experimental results indicate considerable improvements, achieving a 47%
enhancement in addressing critical issues related to data access, energy efficiency, and latency.
By utilizing virtual machines in the cloud to facilitate data communication, this research
presents an innovative approach for enabling reliable and efficient data sharing among mobile
devices, independent of their physical proximity.