Powering down for energy efficient peer-to-peer file distribution

Sucevic, Andrew; Andrew, Lachlan L. H.; Nguyễn, Thùy

doi:10.1145/2160803.2160864

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Sucevic et al [41] and Andrew et al [7] consider an instance of the problem similar to ours, but under a fluid limit model, in which the file can be split into infinitesimally small blocks. We take a complimentary approach, where block sizes must be lower bounded to keep bounded the amount of extra transmissions (and extra energy spent) due to control data (protocol overheads, packet headers, etc).…”

Section: Related Workmentioning

confidence: 93%

Energy-optimal collaborative file distribution in wired networks

Verma

Rizzo

Anta

et al. 2016

Peer-to-Peer Netw. Appl.

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The impact of the ICT sector in worldwide power consumption is an increasing concern, motivating the research community to devote an important effort to define novel energy efficient networking solutions. Despite file distribution is responsible for a major portion of the current Internet traffic, little effort has been dedicated to address the issue of its energy efficiency so far. Most of the previous literature focuses on optimizing the download time of file distribution schemes (e.g. centralized 5 Technion, Haifa, Israel server-based or distributed peer-to-peer solutions) while it is yet unclear how to optimize file distribution schemes from the point of view of energy consumed. In this paper, we present a general modelling framework to analyze the energy consumption of file distribution systems. First, we show that the general problem of minimizing energy consumption in file distribution is NP-hard. Then, for restricted versions of the problem, we establish theoretical bounds to minimal energy consumption. Furthermore, we define a set of optimal algorithms for a variety of system settings, which exploit the service capabilities of hosts in a P2P fashion. We show that our schemes are capable of reducing at least 50 % of the energy consumed by traditional (yet largely used) centralized distribution schemes even when considering effects such as network congestion and heterogeneous access speed across nodes.

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Section: Related Workmentioning

confidence: 93%

Energy-optimal collaborative file distribution in wired networks

Verma

Rizzo

Anta

et al. 2016

Peer-to-Peer Netw. Appl.

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“…In this section, we discuss a couple of theoretical approaches that have been proposed for improving the energy efficiency of P2P file-sharing systems [37] [38]. Sucevic et al [37] page 14 have proposed scheduling in order to power down peers.…”

Section: B Energy Efficiency In P2p File Sharingmentioning

confidence: 99%

“…Sucevic et al [37] page 14 have proposed scheduling in order to power down peers. The authors propose different strategies for distributing the file to peers (i.e., descending, random, ascending uploadcapacity order) and compare them with simultaneous and sequential approaches.…”

Section: B Energy Efficiency In P2p File Sharingmentioning

confidence: 99%

Energy Efficiency in P2P Systems and Applications

Brienza

Cebeci

Masoumzadeh

et al. 2015

Large-Scale Distributed Systems and Energy Efficiency

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P2P systems and applications have achieved increasing popularity in the last years due to the characteristics of dynamicity and scalability of the peer-to-peer paradigm. Currently, P2P applications -especially file sharing and file distribution applications -generate a remarkable portion of the overall Internet traffic. However, many common P2P protocols do not consider the energy problem. Frequently, hosts are requested to stay on and connected to the network for long times. Therefore, they are very energy-consuming. In this chapter, we present a general taxonomy to classify possible approaches to the energy problem in P2P systems and applications. Then, we survey 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.

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“…al. studied various approaches for shutting down end-hosts to minimize the total electricity consumption on participant hosts in a peer-to-peer file download system [34].…”

Section: Related Workmentioning

confidence: 99%

RED-BL: Evaluating dynamic workload relocation for data center networks

et al. 2014

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In this paper, we present RED-BL (Relocate Energy Demand to Better Locations), a framework to minimize the electricity cost for operating data center networks over consecutive intervals of fixed duration. Within each interval, RED-BL provides a mapping of workload to a set of geographically distributed data centers. To this end, RED-BL uses the geographical and temporal variations in electricity prices as exhibited by electrical energy markets. In addition, we incorporate the transition costs associated with a change in workload mapping from one interval to the next, over a planning window comprising multiple such intervals. This results in a sequence of workload mappings that is optimal over the entire planning window, even though the workload mapping in a given interval may not be locally optimal.Our evaluation of RED-BL uses electricity prices from the US markets and workload traces from live Internet applications with millions of users. We find that RED-BL can reduce the electric bill by as much as 45% compared to the case when the workload is uniformly distributed. When compared to existing workload relocation solutions, for a wide range of data center deployment sizes, RED-BL achieves electricity cost savings that are 8.28% higher, on average. This seemingly modest reduction can save millions of dollars for the operators. The cost of this saving is an inexpensive computation at the start of each planning window.

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Powering down for energy efficient peer-to-peer file distribution

Cited by 12 publications

References 9 publications

Energy-optimal collaborative file distribution in wired networks

Energy-optimal collaborative file distribution in wired networks

Energy Efficiency in P2P Systems and Applications

RED-BL: Evaluating dynamic workload relocation for data center networks

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