DocumentCode
1915475
Title
Towards Energy Efficient Data Intensive Computing Using IEEE 802.3az
Author
Pavlov, Dimitar ; Soeurt, Joris ; Grosso, Paola ; Zhiming Zhao ; van der Veldt, Karel ; Hao Zhu ; de Laat, Cees
Author_Institution
Syst. & Network Eng. Res. Group, Univ. of Amsterdam, Amsterdam, Netherlands
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
806
Lastpage
810
Abstract
Energy efficiency is an increasingly important requirement for computing and communication systems, especially with their increasing pervasiveness. The IEEE 802.3az protocol reduces the network energy consumption by turning active copper Ethernet links to a low power model when no traffic exists. However, the effect of 802.3az heavily depends on the network traffic patterns which makes system level energy optimization challenging. In clusters, distributed data intensive applications that generate heavy network traffic are common, and in turn the required network devices can consume large amounts of energy. In this research, we examined the 802.3az technology with the goal of applying it in clusters. We defined an energy budget calculator that takes energy-efficient Ethernet into account by including the energy models derived from tests of 802.3az enabled devices. The calculator is an integral tool in a global strategy to optimize the energy usage of applications in a high performance computing environment. We show a few practical examples of how real applications can better plan their execution by integrating this knowledge in their decision strategies.
Keywords
energy conservation; local area networks; parallel processing; power aware computing; protocols; Ethernet link; IEEE 802.3az protocol; data intensive computing; distributed data intensive application; energy budget calculator; energy efficiency; energy optimization; energy usage; energy-efficient Ethernet; high performance computing environment; network traffic pattern; Data intensive applications; Energy efficient computing; IEEE 802.3az;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4673-6218-4
Type
conf
DOI
10.1109/SC.Companion.2012.112
Filename
6495894
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