Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Characterising the power consumption of Hadoop Clouds: A social media analysis case study

Conejero, Javier, Rana, Omer Farooq, Burnap, Peter, Morgan, Jeffrey, Carrion, Carmen and Caminero, Blanca 2013. Characterising the power consumption of Hadoop Clouds: A social media analysis case study. Presented at: CLOSER 2013: 3rd International Conference on Cloud Computing and Services Science, Aachen, Germany, 8-10 May 2013. 10.5220/0004373502330243

Full text not available from this repository.

Abstract

Energy efficiency is often identified as one of the key reasons for migrating to Cloud environments. It is often stated that a data centre hosting the Cloud environment is likely to achieve greater energy efficiency (at a reduced cost) compared to a local deployment. With increasing energy prices, it is also estimated that a large percentage of operational costs within a Cloud environment can be attributed to energy. In this work, we investigate and measure energy consumption of a number of virtual machines running the Hadoop system, over an OpenNebula Cloud. Our workload is based on sentiment analysis undertaken over Twitter messages. Our objective is to understand the tradeoff between energy efficiency and performance for such a workload. From our results we generalise and speculate on how such an analysis could be used as a basis to establish a Service Level Agreement with a Cloud provider – especially where there is likely to be a high level of variability (both in performance and energy use) over multiple runs of the same application (at different times).

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Cloud Computing, Power Consumption, Hadoop, OpenNebula, Social Media Analysis
Funders: JISC
Related URLs:
Last Modified: 22 May 2015 22:01
URI: http://orca-mwe.cf.ac.uk/id/eprint/49416

Citation Data

Cited 1 time in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item