Deduplication-aware Ecosystem: A Bottom-up Approach

Speaker:  Yu Hua – Wuhan, China
Topic(s):  Applied Computing

Abstract

In the era of big data, the rapid growth in data volume and complexity requires highly efficient schemes to reduce the amounts of data. Deduplication schemes can remove the redundant data, which is helpful to obtain space savings and improve network bandwidth efficiency. In this talk, I will present an overview of data deduplication schemes in a bottom-up manner. First, in the chunk-level deduplication, the locality and similarity are explored and exploited to support fast indexing to identify possibly duplicate data. Moreover, in the application level, similar images often consume large amounts of storage capacity, which can be efficiently addressed by feature-based compression approaches. Therefore, the deduplication schemes construct a bottom-up ecosystem to significantly improve system performance. 

About this Lecture

Number of Slides:  55
Duration:  60 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.