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Hekate a tool for gauging Data Deduplication Performance

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

In this paper, we introduce HEKATE a tool for gauging the performance of data deduplication. In particular, HEKATE allows to test classic, chunk-based deduplication as well as the emerging concept of generalized deduplication, which leverages different data transformations prior to deduplication. We show that HEKATE can be used to evaluate performance with different system configurations and deduplication schemes. In fact, we use six real-world data sets to showcase HEKATE ’s
ability to test performance over a wide range of conditions. We also use this evaluation to showcase how HEKATE can provide insights into data deduplication performance in real systems and optimal configurations given specific data characteristics of an expected workload. HEKATE can also be used to determine the suitability of various deduplication approaches for each data set.
Original languageEnglish
Title of host publication2021 IEEE 6th International Conference on Smart Cloud (SmartCloud)
Number of pages6
Publication year2021
ISBN (Electronic)978-1-6654-4374-6
Publication statusPublished - 2021

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