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Author Brienza, Simone ♦ Cebeci, Sena Efsun ♦ Masoumzadeh, Seyed Saeid ♦ Hlavacs, Helmut ♦ zkasap, znur ♦ Anastasi, Giuseppe
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword P2P ♦ Peer-to-peer ♦ Content streaming ♦ Energy efficiency ♦ Epidemics ♦ File distribution
Abstract Several Peer-to-Peer (P2P) protocols and applications have been developed to allow file distribution/sharing, video and music streaming, and data and information dissemination. These P2P systems are regularly used by a large number of users, both in desktop and mobile environments, and they generate a remarkable portion of the overall Internet traffic. However, many common P2P protocols and applications were designed neglecting the energy problem. In fact, they often require always-on devices in order to work properly, thus producing significant energy waste. The problem is even more relevant in the mobile context, since the battery lifetime of mobile devices is limited. Therefore, energy efficiency in P2P systems is a highly debated topic in the literature. New P2P approaches—more energy efficient than traditional client/server solutions—have been proposed. In addition, several improvements to existing P2P protocols have been introduced to reduce their energy consumption. In this article, we present a general taxonomy to classify state-of-the-art approaches to the energy problem in P2P systems and applications. Then, we survey the main solutions available in the literature, focusing on three relevant classes of P2P systems and applications: file sharing/distribution, content streaming, and $\textit{epidemics}.$ Furthermore, we outline open issues and provide future research guidelines for each class of P2P systems.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-09
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 48
Issue Number 3
Page Count 37
Starting Page 1
Ending Page 37


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Source: ACM Digital Library