Abstract: Cloud computing has become an essential technology in today's cutthroat business environment. It cannot be avoided. Consumers can easily access recycled data, which reduces overall access times and results in high-quality goods, but it still requires more store space, leading to increased storage costs. Cloud Storage Monitoring (CSM) is an IaaS storage utilisation tracking system that uses multi-tenancy data to watch and evaluate access patterns in order to identify data size, frequency of access, future usage, and data recycling in the cloud. Every document receives a ranking, which also predicts future patterns of access. To free up more space for later usage, this gives customers dashboard options where they may decide whether to upload, download, or keep stuff and remove unnecessary files stored in the cloud. Java technology, encryption, decryption keys, deduplication ideas, compression, and decompression methods are all used in the implementation of this project. The frequency distribution algorithm provides a greater storage improvement than conventional techniques. Additionally, it forecasts when archives will become available in the future and upholds the access balance.
Keywords: cloud computing, cloud storage, data deduplication
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DOI:
10.17148/IJARCCE.2024.13838
