An optimized solution for ranking based on data complexity

Abstract

Cloud Computing is an emerging field with lot of possibilities for the maintenance at the Infrastructure Layer and Software Layer. A storage architecture is associated with two processes namely the storage and the retrieval process. The storage architecture plays a vital role in how quickly the data is retrieved. The retrieved data is presented as per the weight of the retrieved data. This paper presents a novel secure storage and the ranking mechanism for the documents for cloud. As no previous reference for any data is kept at the server, the data is encrypted based on the co-relation between the data files calculated by Cosine similarity. The ranking of the retrieved data is done through Supervised Machine learning mechanism. The evaluation of the parameters are done on the base of computation time and total number of true retrievals on multi-keyword search. Multiple dataset from Kaggle are used to perform and cross validate the proposed algorithm.