Automatic Content Creation Mechanism and Rearranging Technique to Improve Cloud Storage Space

Abstract

The storage of electronic data as well as the demand for it has become a major problem in today’s society. Data is becoming increasingly centralized in order to provide the flexibility to use it anywhere, at any time, and on any device. Due to the increasing mobility in modern devices, data productivity and accessibility in cloud storage are increasing. Data versatility is expanding on a daily basis, posing a management challenge. All methods of dumping data regularly over a period of time necessitated the deletion and rearrangement of a few data items in order to achieve greater efficiency in the data retrieval process. Currently, the researchers are focusing on the efficient searching algorithms and not on the combined technique of data prioritization, deletion, and rearrangement. The proposed automatic content creation mechanism (AACM) system will create new document after deleting unwanted contents and by merging few existing documents based on the top key words. Each and every document is associated with particular keywords. The proposed system leads to two outputs by considering the text, first to form core points with voting count and then to create new documentary on it. The proposed system can also focus on video, audio, and image in addition to text but however the major focus is given to text, which is the complex one of the four. The mechanism will move from lower priority/older one to higher priority/newer one on the basis of success rate with a particular cluster. This mechanism will save the valid information even from lower priority and older documents. It will also free up the space by deleting the unwanted sentences from older files, and all these depend on the threshold (confidence) value, which is auto-adjusted by the proposed mechanism on the basis of success rate. This will lead to a better memory management and prevention of core historical data.