Titlebook: Data Deduplication for High Performance Storage System; Dan Feng Book 2022 Springer Nature Singapore Pte Ltd. 2022 data deduplication.stor

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Chunking Algorithms,. In this chapter, we discuss the problems facing the chunking phase and the solutions to address the problems. The rest of this chapter is organized as follows: Section . presents the state-of-the-art chunk algorithms for traffic redundancy elimination and storage systems. Section . describes the d

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异常

Rewriting Algorithms,quence of a backup) is read, and the containers serve as the prefetching unit. After deduplication, the chunks of each backup are often physically scattered, also known as fragmentation problem, which severely decreases restore performance. In this chapter, we discuss the problem and present the sol

Recess

Secure Deduplication,at do not belong to them by performing side-channel attack and unauthorized access. Users usually encrypt data with their own keys to ensure confidentiality of outsourced data, which prohibits cross-user deduplication. It becomes an urgent problem to develop a secure and efficient deduplication syst

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The Framework of Data Deduplication,t conduct experiments on different design comparison. In order to test the parameter space discussed above and find a reasonable parameter configuration, we present the design and implement details of our deduplication prototype, DeFrame (or destor). We implement a DeFrame prototype in 10000+ C code

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Book 2022uplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions..

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Clinical Atlas of Bone SPECT/CTf this chapter is organized as follows: Section . presents the state-of-the-art solutions for post-deduplication delta compression techniques. Section . describes the design and implementations of our proposed deduplication-inspired delta compression approach, called Ddelta. Section . describes our

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