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04300nam a22006135i 4500 |
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978-1-4419-7124-1 |
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DE-He213 |
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20151204172257.0 |
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120319s2012 xxu| s |||| 0|eng d |
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|a 9781441971241
|9 978-1-4419-7124-1
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|a 10.1007/978-1-4419-7124-1
|2 doi
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|d GrThAP
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|a TJ265
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|a QC319.8-338.5
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|a TGMB
|2 bicssc
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|a SCI065000
|2 bisacsh
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|a 621.4021
|2 23
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|a Energy Efficient Thermal Management of Data Centers
|h [electronic resource] /
|c edited by Yogendra Joshi, Pramod Kumar.
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|a Boston, MA :
|b Springer US,
|c 2012.
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300 |
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|a XIV, 626 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Introduction to Data Center Energy Flow and Thermal Management -- Fundamentals of Data Center Air Flow Management -- Peeling the Power Onion of Data Centers -- Understanding and Managing IT Power Consumption:A Measurement-based Approach -- Monitoring and Control of Data Centers -- Energy Efficiency Metrics -- Data Center Metrology and Measurement-Based Modeling Methods -- Numerical modeling of Data Center Clusters -- Exergy Analysis of Data Center Thermal Management Systems -- Reduced Order Modeling-based Energy Efficient and Adaptable Design -- Statistical Design and Analysis Methods for Data Center Thermal Management -- Two-Phase On-Chip Cooling Systems for Green Data Centers -- Emerging Trends in Data Center Cooling Technologies.
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|a Energy Efficient Thermal Management of Data Centers examines energy flow in today's data centers. Particular focus is given to the state-of-the-art thermal management and thermal design approaches now being implemented across the multiple length scales involved. The impact of future trends in information technology hardware, and emerging software paradigms such as cloud computing and virtualization, on thermal management are also addressed. The book explores computational and experimental characterization approaches for determining temperature and air flow patterns within data centers. Thermodynamic analyses using the second law to improve energy efficiency are introduced and used in proposing improvements in cooling methodologies. Reduced-order modeling and robust multi-objective design of next generation data centers are discussed. This book also: Provides in-depth treatment of energy efficiency ideas based on fundamental heat transfer, fluid mechanics, thermodynamics, controls, and computer science Focuses on multiple broad approaches that can yield significant improvements in data center energy efficiency Contains comprehensive coverage of all aspects of thermal management in data centers Features an introduction to real-time allocation of computing loads in virtualized environments and cloud computing Energy Efficient Thermal Management of Data Centers is an essential book for academic researchers working in thermal design, power delivery and cloud computing, as well as engineers working in critical facility design,cooling equipment and IT manufacturing.
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650 |
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|a Engineering.
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650 |
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|a Renewable energy resources.
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650 |
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|a Thermodynamics.
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650 |
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|a Heat engineering.
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|a Heat transfer.
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|a Mass transfer.
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|a Buildings
|x Design and construction.
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|a Building.
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|a Construction.
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|a Engineering, Architectural.
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650 |
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|a Electronic circuits.
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650 |
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|a Renewable energy sources.
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650 |
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|a Alternate energy sources.
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650 |
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|a Green energy industries.
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1 |
4 |
|a Engineering.
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650 |
2 |
4 |
|a Engineering Thermodynamics, Heat and Mass Transfer.
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650 |
2 |
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|a Circuits and Systems.
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650 |
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|a Renewable and Green Energy.
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4 |
|a Building Construction.
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700 |
1 |
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|a Joshi, Yogendra.
|e editor.
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700 |
1 |
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|a Kumar, Pramod.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9781441971234
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-1-4419-7124-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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