Systems and method for rectifying server failure of distributed file systems utilizing predictive logical markers

A computer program product for rectifying server failure of distributed file systems utilizing predictive logical markers, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• receive, via a distributed file system (DFS) client, user details, a file name, and a block address;
• determine, via the DFS client, that previous read information is available for the file name and the user details;
• predict, via a trained machine learning (ML) model, logical markers for file fragments of a file based on previous read information, the user details, the file name, and the block address;
• transmit, via the ML model, one or more remaining block addresses to the DFS client upon determining the previous read information is available;
• facilitate a data input stream, wherein the data input stream comprises a communication of a predicted block address from the ML model to the DFS client;
• and
• process the data input stream via a node.

A method for rectifying server failure of distributed file systems utilizing predictive logical markers, the method comprising:

• receiving, via a distributed file system (DFS) client, user details, a file name, and a block address;
• determining, via the DFS client, that previous read information is available for the file name and the user details;
• predicting, via a trained machine learning (ML) model, logical markers for file fragments of a file based on previous read information, the user details, the file name, and the block address;
• transmitting, via the ML model, one or more remaining block addresses to the DFS client upon determining the previous read information is available;
• facilitating a data input stream, wherein the data input stream comprises a communication of a predicted block address from the ML model to the DFS client;
• and
• processing the data input stream via a node.