DocumentCode :
262532
Title :
Defining Energy Consumption Plans for Data Querying Processes
Author :
Goncalves, Ricardo ; Saraiva, Joao ; Belo, Orlando
Author_Institution :
ALGORITMI R&D Center, Univ. of MInho, Guimaraes, Portugal
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
641
Lastpage :
647
Abstract :
During the last few years, we have been witnessing a significant increase in research about the development and production of hardware and software components with low levels of energy consumption. Today, energy consumption is one of the most critical issues in the area of information technologies and communication. One of the fractions in which this concern is most evident is in the management of database systems, with particular emphasis on those commonly designated as data centers. On these systems daily run a large amount of data querying processes, monitored and controlled by high sophisticated database management systems, which are responsible to establish efficient processing plans to support them. Using the information provided by a querying execution plan, especially the one related to the operators they used to perform database operations, we designed and developed an alternative method to define energy consumption plans for database queries. In this paper we present how such method works on the estimation of the energy consumption of each database operator integrated in the execution plan of a query at compile time. With it, we build up its corresponding energy consumption plan for executing the query, taking into consideration as well the characteristics of the computational platforms used for that.
Keywords :
computer centres; energy consumption; power aware computing; program compilers; query processing; compile time; data centers; data querying process; database management system; energy consumption planning; hardware components; information technology and communication; querying execution plan; software components; Energy consumption; Estimation; Hardware; Indexes; Servers; Data Centers; Database Management Systems; Energy Consumption Plans Generation; Green Queries; Querying Execution Plans;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/BDCloud.2014.109
Filename :
7034854
Link To Document :
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