Query Algorithm to Reduce the Time Overhead of Similarity Detection

Abstract

Data storage is a big issue based on retrieval of bulk amount of data from different sources. Cloud broker layer is added as an additional layer and it plays a major role in between cloud service providers. Previous approaches do not provides the features like completeness e.t.c. of the service selection recommendations to the cloud clients. MMB cloud tree technique provides a solution to overcome this problem. This approach checks the accuracy of the cloud brokers throughout the service selection method. The file similarity cannot be recognized by this approach. To overcome this problem, we introduce Enhanced position aware sampling algorithm. EPAS is used to spot the similar files in the cloud. This approach demonstrates a query algorithm which decreases the time overhead of similarity detection. Therefore, it is a best approach to recognize the similarity in the cloud.