DocumentCode
2670102
Title
DENS: Data Center Energy-Efficient Network-Aware Scheduling
Author
Kliazovich, Dzmitry ; Bouvry, Pascal ; Khan, Samee Ullah
Author_Institution
Univ. of Luxembourg, Luxembourg, Luxembourg
fYear
2010
fDate
18-20 Dec. 2010
Firstpage
69
Lastpage
75
Abstract
In modern data centers, energy consumption accounts for a considerably large slice of operational expenses. The state of the art in data center energy optimization is focusing only on job distribution between computing servers based on workload or thermal profiles. This paper underlines the role of communication fabric in data center energy consumption and presents a scheduling approach that combines energy efficiency and network awareness, termed DENS. The DENS methodology balances the energy consumption of a data center, individual job performance, and traffic demands. The proposed approach optimizes the tradeoff between job consolidation (to minimize the amount of computing servers) and distribution of traffic patterns (to avoid hotspots in the data center network).
Keywords
computer centres; power aware computing; processor scheduling; DENS methodology; communication fabric; computing servers; data center energy consumption; data center energy efficient network aware scheduling; job consolidation; job distribution; job performance; traffic pattern; Bandwidth; Computer architecture; Energy consumption; Energy efficiency; Measurement; Processor scheduling; Servers; cloud computing; congestion; data center; energy-efficient; network-aware scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-9779-9
Electronic_ISBN
978-0-7695-4331-4
Type
conf
DOI
10.1109/GreenCom-CPSCom.2010.31
Filename
5724813
Link To Document