In some applications, such as remote data compression, data synchronization, and data deduplication, chunking is important because it determines the duplicate detection performance of the system. In the storage side, the proposed scheme saves storage space from 1.9 GB, 1.24 GB to 2 GB, and 1.54 GB, respectively.Ĭhunking is a process to split a file into smaller files called chunks. Our experiments improve the performance from 1046770, 1995808 ns to 950000, and 1981154 ns in Galaxy and HUAWEI, respectively.
#Image deduplicator portable code#
Our work overcomes on the above-mentioned issues and focuses to use hash function and Huffman code to build unique code for each image. In this paper, we present a good scheme to remove from the duplicate files, and we focus on image files as a common case in social apps. The social application networks make these devices received several of the duplicate files daily which lead to many drawbacks such inefficient use of storage, low performance of CPU, RAM, and increasing consumption battery. The mobile applications with the internet are distinguished simple, essay to use in any time/anywhere, communication between relatives and friends in different places in the world. The continuous development of the information technology and mobile communication world and the potentials available in the smart devices make these devices widely used in daily life. Finally, open issues and future uncovered or weakly covered research challenges are discussed, and the survey will be concluded. A complete comparative comparison of the replication schemes highlights their main properties, such as utilized classes, type of the scheme, the place of implementation, evaluation tools, and their advantages and weaknesses. The presented classification comprises three main classes data deduplication schemes, data auditing schemes, and data handling schemes. This paper presents a comprehensive survey and classification of state-of-the-art data replication schemes among different existing cloud computing solutions in the form of a classical classification to define current schemes on the topic and present open issues. However, to the best of the author’s knowledge, there is no systematic, comprehensive, and complete survey in the cloud data replication despite its impacts and maturity. Data replication's main target is achieving higher performance for data-intensive applications by addressing some critical challenges of this criterion, such as availability, reliability, security, bandwidth, and response time of data access. One of the main mechanisms in cloud storage systems is data replication, for which various solutions are proposed. In recent years, cloud storage systems have emerged as a promising technology for storing data blocks on various cloud servers.
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