Fidco: A Fog-Integrated Distributed Cloud Optimization Framework for Secure And High-Performance Data Management

Abstract

Data management must not be confined to existing cloud infrastructure but should be extended, considering the ever-increasing volume of digital data. As such, the proposed research introduces an innovative framework dubbed Fog-Integrated Distributed Cloud Optimization that makes use of distributed servers from the local fog as a supplementary means to provide increased performance and enhanced security. The FIDCO framework will provide a means of seamless connectivity between the fog servers and the primary cloud storage to achieve optimal data management using secure measures. Some of the contributions include efficient data management, whereby a system with minimal latency and data migration for data integrity is designed using a scalable distributed architecture. Ensuring a secure data transfer protocol can be done by implementing end-to-end encryption and real-time monitoring for any security threats, such as DDoS attacks. Methodologies adopted will make use of simulation-based modeling and prototyping implementation to evaluate the efficiency of the FIDCO framework concerning its capacity to secure high-performance data management. Today's development stage involves real-time threat detection and appropriate response to any threats that occur, leading to improved data integrity, hence the current evolution of the distributed cloud architecture known as FIDCO.