Energy Efficiency in Large Scale Distributed Systems

This book PDF is perfect for those who love Computers genre, written by Jean-Marc Pierson and published by Springer which was released on 20 September 2013 with total hardcover pages 312. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Energy Efficiency in Large Scale Distributed Systems books below.

Energy Efficiency in Large Scale Distributed Systems
Author : Jean-Marc Pierson
File Size : 54,5 Mb
Publisher : Springer
Language : English
Release Date : 20 September 2013
ISBN : 9783642405174
Pages : 312 pages
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Energy Efficiency in Large Scale Distributed Systems by Jean-Marc Pierson Book PDF Summary

This book constitutes revised selected papers from the Conference on Energy Efficiency in Large Scale Distributed Systems, EE-LSDS, held in Vienna, Austria, in April 2013. It served as the final event of the COST Action IC0804 which started in May 2009. The 15 full papers presented in this volume were carefully reviewed and selected from 31 contributions. In addition, 7 short papers and 3 demo papers are included in this book. The papers are organized in sections named: modeling and monitoring of power consumption; distributed, mobile and cloud computing; HPC computing; wired and wireless networking; and standardization issues.

Energy Efficiency in Large Scale Distributed Systems

This book constitutes revised selected papers from the Conference on Energy Efficiency in Large Scale Distributed Systems, EE-LSDS, held in Vienna, Austria, in April 2013. It served as the final event of the COST Action IC0804 which started in May 2009. The 15 full papers presented in this volume were carefully reviewed and

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Large scale Distributed Systems and Energy Efficiency

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Energy Efficient Distributed Computing Systems

The energy consumption issue in distributed computing systemsraises various monetary, environmental and system performanceconcerns. Electricity consumption in the US doubled from 2000to 2005. From a financial and environmental standpoint,reducing the consumption of electricity is important, yet thesereforms must not lead to performance degradation of the computingsystems. These contradicting constraints create

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Energy Efficiency of Server Grids

Scientific Essay from the year 2010 in the subject Computer Science - Miscellaneous, grade: keine, , language: English, abstract: According to the estimations the level of carbon emission in the sector of information and communication technologies triples by 2020 . This raised concern regarding the energy efficiency of the ICT devices and systems. Further

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From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and

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A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas.

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This volume constitutes the refereed proceedings of the 4th International Conference on Information Systems, Technology and Management, ICISTM 2010, held in Bangkok, Thailand, in March 2010. The 28 revised full papers presented together with 3 keynote lectures, 9 short papers, and 2 tutorial papers were carefully reviewed and selected from 86 submissions. The papers are organized in

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Over the past few years, the energy consumption of Information and Communication Technologies (ICT) has become a major issue. Nowadays, ICT accounts for 2% of the global CO2 emissions, an amount similar to that produced by the aviation industry. Large-scale distributed systems (e.g. Grids, Clouds and high-performance networks) are often

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