Power Management of Personal Computers based on User Behaviour

Setz, Brian; Nizamic, Faris; Lazovik, Alexander; Aiello, Marco

doi:10.5220/0005762604090416

Cited by 4 publications

(1 citation statement)

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“…In the second scenario, we consider automated control where the planner takes into account both the natural light level and recognised occupant activities to control the workstations and lamps automatically. Here we do not actually control the workstations, but we assume the existence of a system based on a client-server paradigm that enables bringing workstations into sleep mode or waking them up on planner's demand, e.g., [33].…”

Section: The Case Of Offices and Social Corner In Bernoulliborgmentioning

confidence: 99%

Planning meets activity recognition: Service coordination for intelligent buildings

Georgievski

Nguyen

Nizamic

et al. 2017

Pervasive and Mobile Computing

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Section: The Case Of Offices and Social Corner In Bernoulliborgmentioning

confidence: 99%

Planning meets activity recognition: Service coordination for intelligent buildings

Georgievski

Nguyen

Nizamic

et al. 2017

Pervasive and Mobile Computing

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A sleep‐and‐wake technique for reducing energy consumption in BitTorrent networks

Marozzo

Talia

Trunfio

2020

Concurrency and Computation

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SummaryFile sharing is one of the leading Internet applications of P2P technology. Given the high number of computer nodes involved in peer‐to‐peer networks, reducing their aggregate energy consumption is an important challenge to be faced. In this paper, we show how the sleep‐and‐wake energy saving approach can be exploited to reduce energy consumption in BitTorrent, one of the most popular file sharing peer‐to‐peer networks. We describe BitTorrentSW, a sleep‐and‐wake approach for BitTorrent networks that allows seeders (ie, peers that hold complete files) to cyclically switch between wake and sleep modes to save energy while ensuring good file sharing performance. The decision to switch to sleep mode is taken independently by each seeder based on local information about the composition of the peer‐to‐peer network. BitTorrentSW has been evaluated through PeerSim using real BitTorrent traces. The simulation results show that, in all the configurations under analysis, the percentage of energy saved by BitTorrentSW is much higher than the percentage of increase in download time. For instance, in a network with 50% of seeders, about 20% of energy is saved using BitTorrentSW, with an increase of only 7% of the average time needed to complete a file download compared to a standard BitTorrent network in which all seeders are always powered on.

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BitTorrentSW: A Sleep-and-Wake Approach to Reduce Energy Consumption in BitTorrent Networks

Marozzo

Marzano²,

Talia

et al. 2018

2018 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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Power Management of Personal Computers based on User Behaviour

Cited by 4 publications

References 0 publications

Planning meets activity recognition: Service coordination for intelligent buildings

Planning meets activity recognition: Service coordination for intelligent buildings

A sleep‐and‐wake technique for reducing energy consumption in BitTorrent networks

BitTorrentSW: A Sleep-and-Wake Approach to Reduce Energy Consumption in BitTorrent Networks

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