Scaling beyond one rack and sizing of hadoop platform
Authors: Litke, W. and Budka, M.
Journal: Scalable Computing
Volume: 16
Issue: 4
Pages: 423-436
ISSN: 1895-1767
DOI: 10.12694/scpe.v16i4.1131
Abstract:This paper focuses on two aspects of configuration choices of the Hadoop platform. Firstly we are looking to establish performance implications of expanding an existing Hadoop cluster beyond a single rack. In the second part of the testing we are focusing on performance differences when deploying clusters of different sizes. The study also examines constraints of the disk latency found on the test cluster during our experiments and discusses their impact on the overall performance. All testing approaches described in this work offer an insight into understanding of Hadoop environment for the companies looking to either expand their existing Big Data analytics platform or implement it for the first time.
https://eprints.bournemouth.ac.uk/22861/
Source: Scopus
SCALING BEYOND ONE RACK AND SIZING OF HADOOP PLATFORM
Authors: Litke, W. and Budka, M.
Journal: SCALABLE COMPUTING-PRACTICE AND EXPERIENCE
Volume: 16
Issue: 4
Pages: 423-435
ISSN: 1895-1767
https://eprints.bournemouth.ac.uk/22861/
Source: Web of Science (Lite)
Scaling beyond one rack and sizing of Hadoop platform
Authors: Litke, W. and Budka, M.
Journal: Scalable Computing: Practice and Experience (Submitted)
Volume: 17
https://eprints.bournemouth.ac.uk/22861/
Source: Manual
Scaling Beyond One Rack and Sizing of Hadoop Platform.
Authors: Litke, W. and Budka, M.
Journal: Scalable Comput. Pract. Exp.
Volume: 16
Pages: 423-436
https://eprints.bournemouth.ac.uk/22861/
Source: DBLP
Scaling beyond one rack and sizing of Hadoop platform
Authors: Litke, W. and Budka, M.
Journal: Scalable Computing: Practice and Experience
Volume: 16
Issue: 4
Pages: 423-435
ISSN: 1895-1767
Abstract:This paper focuses on two aspects of configuration choices of the Hadoop platform. Firstly we are looking to establish performance implications of expanding an existing Hadoop cluster beyond a single rack. In the second part of the testing we are focusing on performance differences when deploying clusters of different sizes. The study also examines constraints of the disk latency found on the test cluster during our experiments and discusses their impact on the overall perfor- mance. All testing approaches described in this work offer an insight into understanding of Hadoop environment for the companies looking to either expand their existing Big Data analytics platform or implement it for the first time.
https://eprints.bournemouth.ac.uk/22861/
Source: BURO EPrints