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Energy Efficiency in P2P Systems and Applications
Author(s) -
Simone Brienza,
Sena Efsun Cebeci,
Seyed-Saeid Masoumzadeh,
Helmut Hlavacs,
Öznur Özkasap,
Giuseppe Anastasi
Publication year - 2015
Publication title -
john wiley and sons, inc. ebooks
Language(s) - English
Resource type - Book series
DOI - 10.1002/9781118981122.ch9
Subject(s) - bittorrent , computer science , file sharing , bittorrent tracker , efficient energy use , gossip , distributed computing , peer to peer , overlay , shared resource , computer network , world wide web , operating system , the internet , psychology , social psychology , eye tracking , computer vision , electrical engineering , engineering
This chapter presents a general taxonomy to classify possible approaches to the energy problem in peer-to-peer (P2P) systems and applications. It provides a classification of energy-aware P2P approaches into three main classes, based on the techniques they use, namely, sleep/wakeup, hierarchical, and resource allocation. The chapter surveys the main solutions available in the literature, focusing on two relevant classes of P2P protocols, namely, file-sharing/distribution protocols (e.g., BitTorrent and Gnutella) and epidemic P2P protocols. It compares, in terms of energy efficiency, the two main approaches to file sharing, that is, client-server and P2P. The chapter also presents some techniques for optimizing the energy efficiency in P2P file sharing. BitTorrent implements an unstructured overlay network customized for file sharing. Designing energy-efficient epidemic (gossip-based) protocols and services has become significant because of their wide usage in large-scale distributed systems. There exist two main classes of epidemic algorithms, namely, flat and hierarchical

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