A Survey on Energy Efficiency in P2P Systems

Author:

Brienza Simone1,Cebeci Sena Efsun2,Masoumzadeh Seyed Saeid3,Hlavacs Helmut3,Özkasap Öznur2,Anastasi Giuseppe1

Affiliation:

1. University of Pisa, Italy

2. Koç University, Istanbul, Turkey

3. University of Vienna, Austria

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 epidemics . Furthermore, we outline open issues and provide future research guidelines for each class of P2P systems.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficiency in Software-Defined Networking: Rule Placement Approach;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

2. Enhancing Traffic Engineering Policy in SDN Addressing TCAM limitations using Bloom Filters;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

3. Performance analysis of a queueing system based on working vacation with repairable fault in the P2P network;The Journal of Supercomputing;2023-03-20

4. Performance analysis of a Queueing system based on vacation with fault repairable and spare servers in the MP2P network;Wireless Networks;2023-03-20

5. An Efficient Framework for Utilizing Underloaded Servers in Compute Cloud;Computer Systems Science and Engineering;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3