Hekate a tool for gauging Data Deduplication Performance

Lars Nielsen; Daniel Enrique Lucani Rötter

doi:10.1109/SmartCloud52277.2021.00019

Hekate a tool for gauging Data Deduplication Performance

Lars Nielsen, Daniel Enrique Lucani Rötter

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

Abstract

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 language	English
Title of host publication	Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021
Number of pages	6
Publisher	IEEE
Publication date	2021
Pages	67-72
ISBN (Electronic)	978-1-6654-4374-6
DOIs	https://doi.org/10.1109/SmartCloud52277.2021.00019
Publication status	Published - 2021

Keywords

deduplication
performance
storage

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10.1109/SmartCloud52277.2021.00019

Cite this

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title = "Hekate a tool for gauging Data Deduplication Performance",

abstract = "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 {\textquoteright}sability 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.",

keywords = "deduplication, performance, storage",

author = "Lars Nielsen and {Lucani R{\"o}tter}, {Daniel Enrique}",

year = "2021",

doi = "10.1109/SmartCloud52277.2021.00019",

language = "English",

pages = "67--72",

booktitle = "Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021",

publisher = "IEEE",

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T1 - Hekate a tool for gauging Data Deduplication Performance

AU - Nielsen, Lars

AU - Lucani Rötter, Daniel Enrique

PY - 2021

Y1 - 2021

N2 - 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 ’sability 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.

AB - 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 ’sability 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.

KW - deduplication

KW - performance

KW - storage

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DO - 10.1109/SmartCloud52277.2021.00019

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SP - 67

EP - 72

BT - Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021

PB - IEEE

ER -

Hekate a tool for gauging Data Deduplication Performance

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Hekate a tool for gauging Data Deduplication Performance

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