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Performance Evaluation of Data Intensive Computing In The Cloud

Big data is a topic of active research in the cloud community. With increasing demand for data storage in the cloud, study of data-intensive applications is becoming a primary focus. Data-intensive applications involve high CPU usage for processing large volumes of data on the scale of terabytes or petabytes. While some research exists for the performance effect of data intensive applications in the cloud, none of the research compares the Amazon Elastic Compute Cloud (Amazon EC2) and Google Compute Engine (GCE) clouds using multiple benchmarks. This study performs extensive research on the Amazon EC2 and GCE clouds using the TeraSort, MalStone and CreditStone benchmarks on Hadoop and Sector data layers. Data collected for the Amazon EC2 and GCE clouds measure performance as the number of nodes is varied. This study shows that GCE is more efficient for data-intensive applications compared to Amazon EC2.

Identiferoai:union.ndltd.org:unf.edu/oai:digitalcommons.unf.edu:etd-1445
Date01 January 2013
CreatorsKaza, Bhagavathi
PublisherUNF Digital Commons
Source SetsUniversity of North Florida
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceUNF Theses and Dissertations

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