Performance comparison of power-saving strategies for mobile web access
Performance Evaluation
Efficient simulation of large-scale p2p networks: packet-level vs. flow-level simulations
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
Challenges in distributed energy adaptive computing
ACM SIGMETRICS Performance Evaluation Review
Cloudtorrent - energy-efficient BitTorrent content sharing for mobile devices via cloud services
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
SMC: an energy conserving P2P file sharing model for mobile devices
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
A Battery-Aware Algorithm for Supporting Collaborative Applications
Mobile Networks and Applications
Enhancing data center sustainability through energy-adaptive computing
ACM Journal on Emerging Technologies in Computing Systems (JETC)
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The strategy to send data in high speed bursts has been observed to be useful for energy-efficient communication of wireless applications. In this paper we investigate how to apply this approach to peer-to-peer (P2P) content sharing. Our main focus is on battery savings that can be achieved by properly shaping the traffic at the application level. Our primary target is BitTorrent based content sharing on mobile phones connected with 3G cellular networks. However, the results also apply to WLAN communication as well as to other energy-limited devices in addition to mobile phones. We propose a novel BitTorrent extension and evaluate it via flow-level simulations. In comparison to standard BitTorrent, the energy-limited peers can achieve 50% energy savings without significantly affecting the download speeds of regular peers.