Search

Thesis focuses on data deduplication, mainly in medium-term advances, using commercial solutions. Principles used in disk arrays deduplication are not part of this document. The thesis specifically shows a brief introduction to deduplication, which serves as an example of why it was necessary to come up with an improved solution. This solution is sparse indexing method, which was created in the laboratories of Hewlett Packard Ltd. This method is discussed in more detail and shown in which solutions specifically can be found. Following the analysis of sparse indexing method is the evaluation of a particular solution of backup and deduplication from HP in comparison with a solution that offers some of its competitors. At the end, there is the evaluation and commentary of the results, together with the general recommendations and best practices from a real, large-scale, data structures. These recommendations are put as specifications for particular operational tasks associated with deduplication approaches and procedures.

Bachelor thesis deals with deduplication during backup issue. Easily forgettable from the "common user" perspective. But important for IT administrator. Deduplication is important mainly because of limited space for backups and computing power. Bachelor thesis is divided into two main parts. In the first part the thesis describes deduplication, methods and tools of deduplication. In the second part, the backup systems with deduplication support. Issue objective is try to describe different procedures of deduplication and test suitability of different software. The thesis uses electronic data, program data and similar litarature. The main benefit of this thesis is showing deduplication as a problm to the general public and showing usability of different softwares.