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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Distributed Relational Database Performance in Cloud Computing: an Investigative Study

Litchfield, A; Althwab, A; Sharma, C
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Conference contribution (269.9Kb)
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http://hdl.handle.net/10292/12255
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Abstract
Weak points in major relational database systems in a Cloud Computing environment, in which the nodes were geographically distant, are identified. The study questions whether running databases in the Cloud provides operational disadvantages. Findings indicate that performance measures of RDBMS’ in a Cloud Computing environment are inconsistent and that a contributing factor to poor performance is the public or shared infrastructure on the Internet. Also, that RDBMS’ in a Cloud Computing environment become network-bound in addition to being I/O bound. The study concludes that Cloud Computing creates an environment that negatively impacts RDBMS performance for RDBMS’ that were designed for n-tier architecture.
Keywords
Public Cloud; Distributed RDBMS performance; Network latency; Database; Performance loss
Date
August 2017
Source
Twenty-third Americas Conference on Information Systems, Strategic and Competitive Use of Information Technology (SCUIT), Boston, August 10-12, 2017.
Item Type
Conference Contribution
Publisher
AIS
Publisher's Version
https://aisel.aisnet.org/amcis2017/StrategicIT/Presentations/3/
Rights Statement
Copyright © 2017 Association for Information Systems (AIS) http://aisel.aisnet.org. All rights reserved. NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).

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