A Review Paper on Leveraging Data Duplication to Improve the Performance of Storage System with CLD and EHD Image Matching in the Cloud IJTSRD
With the explosive growth in data volume, the I/O bottleneck has become an increasingly daunting challenge for big data analytics in the Cloud. In existing paper, propose POD, a performance-oriented deduplication scheme, to improve the performance of primary storage systems in the Cloud by leveraging data deduplication on the I/O path to remove redundant write requests while also saving storage space. This research works aims to remove data duplication in the cloud. Improve the performance of storage system. We use concept of image processing to utilize the space. In this paper we discussed about the design and implementation of data duplication to improve the efficiency of storage in cloud. This system, implements wireless data access to servers. An alternative method for us is remove the data duplication in storage system by using web based application in which we can use two matching technic CLD(color layout descriptor) and EHD(enhance histogram descriptor).User can browse image and upload the image on web page then we apply CLD & EHD technic and then see uploaded image is already store on cloud or not, if there is matching image like uploaded image then we extract referenced of already store image then send to the receiver and receiver can receive the image. If there is no matching image then upload new image to database. By extracting reference of already store image there is no need to upload again same image to database so, we can remove data duplication, improve the storage space efficiency and utilize network bandwidth so, our system more effective than the data deduplication to improve the performance of primary storage system.
by Pooja M. Khandar | Dr. H R. Deshmukh”A Review Paper on Leveraging Data Duplication to Improve the Performance of Storage System with CLD and EHD Image Matching in the Cloud”
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,
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