Pick your choice in HBase: Security or performance

Frank Pallas*, Johannes Günther, David Bermbach

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Konferenzband/GesetzeskommentarKonferenzbeitragPeer-reviewed

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.
OriginalspracheEnglisch
Titel2016 IEEE International Conference on Big Data (Big Data)
Herausgeber (Verlag)IEEE
Seiten548-554
Seitenumfang7
ISBN (Print)978-1-4673-9006-4
DOIs
PublikationsstatusVeröffentlicht - 8 Dez. 2016
Veranstaltung2016 IEEE International Conference on Big Data (Big Data) - Washington, DC, USA
Dauer: 5 Dez. 20168 Dez. 2016

Konferenz

Konferenz2016 IEEE International Conference on Big Data (Big Data)
Zeitraum5/12/168/12/16

Schlagwörter

  • Cloud computing
  • Servers
  • Big data
  • Encryption
  • Virtual private networks
  • Benchmark testing

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