R&D: Intelligent Compression of Data on Cloud Storage

Springer Nature has published, in Emerging Trends in Expert Applications and Security Proceedings of 2nd ICETEAS 2023, an article written by E. Mothish, S. Vidhya, G. Jeeva, and K. Gopinathan,Department of Information Technology, Saveetha Engineering College, Chennai, Tamil Nadu, India.

Abstract: “Cloud computing is one of the most used technologies today. The main advantage of cloud computing is that the project developer need not buy the physical devices that will be used for the development of the project. They just need to rent the needed physical devices that are required for the project. The rented devices can easily be scaled up if the requirement of the project is increased. The major problem in cloud computing is the duplication of files that are stored in the cloud server. This will increase the memory usage of the cloud storage. In order to reduce the memory of the cloud storage, we need the application that will check the duplicate files in the cloud server before uploading the files in the main memory. If the duplicate of files is available on the cloud server, the application needs to map the original files to the current files that is uploaded so that the user will not get affected by the mapping but on the backend no duplicate files will be created but the files get mapped by the application. In this way, the duplication files on the cloud server will be avoided thereby reducing the storage space requirement on the cloud server.“