A framework for analyzing monetary cost of database systems in the cloud

In this paper, we propose to develop a framework to analyze the monetary cost of running database systems in the public cloud. The framework offers guidelines and methodologies in analyzing and estimating monetary cost of database systems. It consists of multiple components including categorizing da...

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Main Authors: Chen, Changbing, He, Bingsheng
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/101262
http://hdl.handle.net/10220/16709
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1012622020-05-28T07:17:45Z A framework for analyzing monetary cost of database systems in the cloud Chen, Changbing He, Bingsheng School of Computer Engineering International Conference of Web-Age Information Management (14th : 2013) DRNTU::Engineering::Computer science and engineering In this paper, we propose to develop a framework to analyze the monetary cost of running database systems in the public cloud. The framework offers guidelines and methodologies in analyzing and estimating monetary cost of database systems. It consists of multiple components including categorizing database performance tuning knobs, benchmarking the price/performance of computation resources offered by the cloud provider, and building a monetary cost model. As a case study of our proposed framework, we conduct an in-depth study on two popular open-source database systems with respect to two cloud providers. We find that evaluating a query spans a wide range of monetary costs (with a difference up to 91%), and the experimental results demonstrate the accuracy of our monetary cost estimation. 2013-10-23T05:51:37Z 2019-12-06T20:35:47Z 2013-10-23T05:51:37Z 2019-12-06T20:35:47Z 2013 2013 Conference Paper Chen, C. B., & He, B. S. (2013). A framework for analyzing monetary cost of database systems in the cloud. Proceedings of the 14th International Conference, WAIM 2013: Lecture Notes in Computer Science, 7923, 118-129. https://hdl.handle.net/10356/101262 http://hdl.handle.net/10220/16709 10.1007/978-3-642-38562-9_13 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Chen, Changbing
He, Bingsheng
A framework for analyzing monetary cost of database systems in the cloud
description In this paper, we propose to develop a framework to analyze the monetary cost of running database systems in the public cloud. The framework offers guidelines and methodologies in analyzing and estimating monetary cost of database systems. It consists of multiple components including categorizing database performance tuning knobs, benchmarking the price/performance of computation resources offered by the cloud provider, and building a monetary cost model. As a case study of our proposed framework, we conduct an in-depth study on two popular open-source database systems with respect to two cloud providers. We find that evaluating a query spans a wide range of monetary costs (with a difference up to 91%), and the experimental results demonstrate the accuracy of our monetary cost estimation.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Chen, Changbing
He, Bingsheng
format Conference or Workshop Item
author Chen, Changbing
He, Bingsheng
author_sort Chen, Changbing
title A framework for analyzing monetary cost of database systems in the cloud
title_short A framework for analyzing monetary cost of database systems in the cloud
title_full A framework for analyzing monetary cost of database systems in the cloud
title_fullStr A framework for analyzing monetary cost of database systems in the cloud
title_full_unstemmed A framework for analyzing monetary cost of database systems in the cloud
title_sort framework for analyzing monetary cost of database systems in the cloud
publishDate 2013
url https://hdl.handle.net/10356/101262
http://hdl.handle.net/10220/16709
_version_ 1681056125211901952