In the modern era of cloud computing, the rate at which new data is produced and stored in the cloud is quite high. As a result, the cloud storage platform has emerged as one of the most important aspects of cloud computing. Cloud computing is typically used for storage systems these days due to its many desirable properties, including extensive network access, resource pooling, an on-demand approach, monitored service, and so on. Users' data may be lost if certain unfavourable situations arise, such as an electrical surge, a malfunctioning spindle motor, mechanical damage, or faults in the underlying programming. The data storage system ought to provide some kind of protection for the user's files. Replication is used to accomplish this goal. Although it is simple to store duplicated data to sustain a given amount of data loss, the storage performance is quite poor. Erasure codes are replacing replication in cloud file systems, which is being done primarily to improve data security while simultaneously cutting down on storage overhead. The erasure code approach is utilised to provide security for the data that is present across distributed systems. Erasure coding methods that are now in use, like reed-Solomon codes, seem to be able to significantly reduce the cost of data storage while maintaining the same level of resilience against disc failures. On the other hand, it has far higher costs associated with its repair, not to note an even longer access latency. From this perspective, the development of innovative coding strategies for cloud storage systems has attracted a substantial amount of attention both in academic circles and in the business world. Therefore, the objective of this research is to present a novel coding scheme that improves the effectiveness of the Reed-Solomon coding method that makes use of the advanced Cauchy matrix to accomplish fault tolerance.

Distributed Storage System, Advanced Cauchy Reed Solomon, Erasure Code, Data Security, Fault Tolerance