A two‐layer model for improving the energy efficiency of file sharing peer‐to‐peer networks

Trunfio, Paolo

doi:10.1002/cpe.3213

Cited by 15 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When user‐level applications support energy‐aware functions the applied technique is called energy‐aware user‐level . Applications such as energy‐aware peer‐to‐peer software and energy‐efficient file management engage energy‐aware routines between file exchange.…”

Section: Related Workmentioning

confidence: 99%

Towards power consumption in optical networks: a cognitive prediction‐based technique

Sarigiannidis

Papadimitriou

Nicopolitidis

et al. 2015

Int J Communication

View full text Add to dashboard Cite

Summary Modern backbone, optical networks have developed into large, massive networks, which consist of numerous intermediate and terminal nodes as well as final users. These networks serve uninterruptedly multitude of users at the expense of considerable power consumption. Many research efforts are aimed at reducing energy consumption in large‐scale optical networks; however, this objective is deemed laborious: the operation of such networks has to continuously remain in good levels without disruptions. One of the most compelling techniques to remedy this situation is to switch off redundant links and devices at specific (short) periods. These links and devices remain idle as long as the network can cope with the underlying traffic demands. Hence, a power mechanism is required to manage how and when underutilized network elements may be silent during network operation. Nevertheless, this management entails fast processing and efficient decision making. While many research efforts neglect this serious factor, the problem of reducing the power consumption still threats the development of today's backbone network. In this work, an effective, cognitive power management technique is proposed by enhancing the decision making with traffic prediction. Traffic capacity is estimated in each link within the network supporting, thus, more efficient decisions on switching off underutilized or even idle network elements a priori. The technique introduced succeeds high accuracy levels, while it offers energy savings up to 30% lower than other energy‐aware schemes. Copyright © 2015 John Wiley & Sons, Ltd.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards power consumption in optical networks: a cognitive prediction‐based technique

Sarigiannidis

Papadimitriou

Nicopolitidis

et al. 2015

Int J Communication

View full text Add to dashboard Cite

show abstract

“…As we show in the paper, for such schemes the total energy consumption is up to twice that of the optimal schemes we propose, depending on the specific settings. Another approach to energy efficiency in P2P networks makes use of hierarchies and sleep modes of the hosts [37,42]. The aim in this approach is to reduce the number of peers that are active.…”

Section: Related Workmentioning

confidence: 99%

Energy-optimal collaborative file distribution in wired networks

Verma

Rizzo

Anta

et al. 2016

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

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.

show abstract

“…The first manuscript in this category is the work by P. Trunfio [143] and deals with a peer-topeer file-sharing model that takes into account energy efficiency. This is achieved by means of a sleep-and-wake approach.…”

Section: High Performance Computing Fundamentalsmentioning

confidence: 99%

High‐performance computing: to boldly go where no human has gone before

Limet

Smari

Spalazzi

2015

Concurrency and Computation

View full text Add to dashboard Cite

International audienceComputing and computational science are well on their way to enter into the exascale era while High Performance Computing (HPC) is now present in many spheres and domains of modern society. New technologies such as cloud computing, big data, and connected objects open many perspectives and possibilities that were unattainable until now. These are high times for computing and for HPC in particular. The High Performance Computing \& Simulation conference aims to bring together researchers working on various aspects of HPC, their design and use, and their applications. As has been the conference tradition, selected extended papers of HPCS 2012 are presented in this special issue. These should be interesting contributions that supplement the current state-of-the-art research in HPC. To relate these works and highlight their value, in this article, we briefly trace back the history of HPC, sketch the state of the present research and development in the field, and project some of the challenges and future trends anticipated

show abstract

A two‐layer model for improving the energy efficiency of file sharing peer‐to‐peer networks

Cited by 15 publications

References 29 publications

Towards power consumption in optical networks: a cognitive prediction‐based technique

Towards power consumption in optical networks: a cognitive prediction‐based technique

Energy-optimal collaborative file distribution in wired networks

High‐performance computing: to boldly go where no human has gone before

Contact Info

Product

Resources

About