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Energy-optimal collaborative file distribution in wired networks

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Energy-optimal_collaborative_file_distribution_in_wired_networks_2016_EN.pdf (1.286Mb)
Identifiers
URI: http://hdl.handle.net/20.500.12761/260
ISSN: 1936-6442
DOI: DOI:10.1007/s12083-016-0453-4
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Author(s)
Verma, Kshitiz; Rizzo, Gianluca; Fernández Anta, Antonio; Cuevas, Rubén; Azcorra, Arturo; Zaks, Shmuel; García-Martínez, Alberto
Date
2017-07
Abstract
The impact of the ICT sector in worldwide power consumption is an increasing concern, motivating the research community to devote an important effort to define novel energy efficient networking solutions. Despite file distribution is responsible for a major portion of the current Internet traffic, little effort has been dedicated to address the issue of its energy efficiency so far. Most of the previous literature focuses on optimizing the download time of file distribution schemes (e.g. centralized server-based or distributed peer-to-peer solutions) while it is yet unclear how to optimize file distribution schemes from the point of view of energy consumed. In this paper, we present a general modelling framework to analyze the energy consumption of file distribution systems. First, we show that the general problem of minimizing energy consumption in file distribution is NP-hard. Then, for restricted versions of the problem, we establish theoretical bounds to minimal energy consumption. Furthermore, we define a set of optimal algorithms for a variety of system settings, which exploit the service capabilities of hosts in a P2P fashion. We show that our schemes are capable of reducing at least 50 % of the energy consumed by traditional (yet largely used) centralized distribution schemes even when considering effects such as network congestion and heterogeneous access speed across nodes.
Share
Files
Energy-optimal_collaborative_file_distribution_in_wired_networks_2016_EN.pdf (1.286Mb)
Identifiers
URI: http://hdl.handle.net/20.500.12761/260
ISSN: 1936-6442
DOI: DOI:10.1007/s12083-016-0453-4
Metadata
Show full item record

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