With today's competitive corporate climate, cloud computing has emerged as a key technology that cannot be avoided. Recycled data enables users to access it quickly and reduces overall access time, providing high-quality products, but it still requires additional storage capacity, thus increasing storage costs. An IaaS storage utilization tracking system called Cloud Storage Monitoring (CSM) tracks and analyses access patterns using multi-tenancy data to determine data size, access frequency, future access, and data recycling in the cloud. Each document is assigned a ranking, and the ranking furthermore forecasts future access trends. This provides users with dashboard suggestions where they can choose to upload, download, or keep items and delete redundant files stored in the cloud to free up more space for later use. We implement this project using Java technology, encryption, decryption keys, deduplication concepts, and compression, and decompression algorithms. Using the algorithm for frequency distribution shows a better improvement in storage over traditional methods. It also maintains access balance and predicts the future availability of archives.