DocumentCode
3304619
Title
Greening the Internet: Energy-Optimal File Distribution
Author
Verma, Kshitiz ; Rizzo, Gianluca ; Anta, Antonio Fernández ; Rumín, Rubén Cuevas ; Azcorra, Arturo
Author_Institution
Univ. Carlos III de Madrid, Leganés, Spain
fYear
2012
fDate
23-25 Aug. 2012
Firstpage
1
Lastpage
9
Abstract
Despite file distribution applications are responsible for a major portion of the current Internet traffic, so far little effort has been dedicated to study file distribution from the point of view of energy efficiency. In this paper, we present the first extensive and detailed theoretical study for the problem of energy efficiency in file distribution. Specifically, we first demonstrate that the general problem of minimizing energy consumption in file distribution is NP-hard. For restricted versions of the problem, we derive tight lower bounds on energy consumption, and we design a family of algorithms that achieve these bounds. Our results prove that through collaborative p2p schemes up to 50% energy savings are achievable with respect to the best available centralized file distribution scheme. Through simulation, we show that even in heterogeneous settings (e.g., considering network congestion, and link variability across hosts) our collaborative algorithms always achieve significant energy savings with respect to the power consumption of centralized file distribution systems.
Keywords
Internet; file organisation; optimisation; power aware computing; Internet traffic; NP-hard; centralized file distribution scheme; centralized file distribution system; collaborative algorithm; distribution application; energy consumption minimization; energy efficiency; energy optimal file distribution; energy savings; greening; heterogeneous setting; power consumption; Algorithm design and analysis; Energy consumption; Indexes; Internet; Minimization; Servers; Switches; network;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Applications (NCA), 2012 11th IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-4673-2214-0
Type
conf
DOI
10.1109/NCA.2012.11
Filename
6299120
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