Pick your choice in HBase: Security or performance

Frank Pallas*, Johannes Günther, David Bermbach

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding/Legal commentaryConference contributionpeer-review

Abstract

When analyzing sensitive data in a cloud-deployed Hadoop stack, data-in-transit security needs to be enabled, especially in the underlying storage tier. This, however, will affect the performance of the system and may partially offset the cost benefits of the cloud. In this paper, we discuss two strategies for securing HBase deployments in the cloud. For both, we present benchmarking results which show performance impacts that significantly exceed the suggested 10% from the official documentation. These results demonstrate (i) that security configurations should follow a rational decision process based on benchmarking results and (ii) that the security architecture of HBase/HDFS should be redesigned with an emphasis on performance.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Big Data (Big Data)
PublisherIEEE
Pages548-554
Number of pages7
ISBN (Print)978-1-4673-9006-4
DOIs
Publication statusPublished - 8 Dec 2016
Event2016 IEEE International Conference on Big Data (Big Data) - Washington, DC, USA
Duration: 5 Dec 20168 Dec 2016

Conference

Conference2016 IEEE International Conference on Big Data (Big Data)
Period5/12/168/12/16

Fields of Science and Technology Classification 2012

  • 102 Computer Sciences

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