Citation :

K Sindhuja, D Angeline Benitta, "Fidco: A Fog-Integrated Distributed Cloud Optimization Framework for Secure And High-Performance Data Management," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 7, pp. 192-198, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I7P113

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.

Keywords

Cloud Computing, DDoS Attack Detection, Fog-Integrated Distributed Cloud Optimization (FIDCO), Fog Computing, High-Performance Data Management, Low-Latency Architecture, Secure Data Transfer, Real-Time Threat Monitoring.

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