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Energy Efficient Thermal Management of Data Centers

2012-03-20 Science
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Release : 2012-03-20
Genre : Science
Kind : eBook
Book Rating : 246/5 ( reviews)

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Book Synopsis Energy Efficient Thermal Management of Data Centers by : Yogendra Joshi

Download or read book Energy Efficient Thermal Management of Data Centers written by Yogendra Joshi. This book was released on 2012-03-20. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Energy Efficient Thermal Management of Data Centers Via Open Multi-scale Design

2009 Data processing service centers
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Release : 2009
Genre : Data processing service centers
Kind : eBook
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Book Synopsis Energy Efficient Thermal Management of Data Centers Via Open Multi-scale Design by : Emad Samadiani

Download or read book Energy Efficient Thermal Management of Data Centers Via Open Multi-scale Design written by Emad Samadiani. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: Data centers are computing infrastructure facilities that house arrays of electronic racks containing high power dissipation data processing and storage equipment whose temperature must be maintained within allowable limits. In this research, the sustainable and reliable operations of the electronic equipment in data centers are shown to be possible through the Open Engineering Systems paradigm. A design approach is developed to bring adaptability and robustness, two main features of open systems, in multi-scale convective systems such as data centers. The presented approach is centered on the integration of three constructs: a) Proper Orthogonal Decomposition (POD) based multi-scale modeling, b) compromise Decision Support Problem (cDSP), and c) robust design to overcome the challenges in thermal-fluid modeling, having multiple objectives, and inherent variability management, respectively. Two new POD based reduced order thermal modeling methods are presented to simulate multi-parameter dependent temperature field in multi-scale thermal/fluid systems such as data centers. The methods are verified to achieve an adaptable, robust, and energy efficient thermal design of an air-cooled data center cell with an annual increase in the power consumption for the next ten years. Also, a simpler reduced order modeling approach centered on POD technique with modal coefficient interpolation is validated against experimental measurements in an operational data center facility.

Advanced Thermal Management Strategies for Energy-efficient Data Centers

2009 Computational fluid dynamics
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Release : 2009
Genre : Computational fluid dynamics
Kind : eBook
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Book Synopsis Advanced Thermal Management Strategies for Energy-efficient Data Centers by : Ankit Somani

Download or read book Advanced Thermal Management Strategies for Energy-efficient Data Centers written by Ankit Somani. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: A simplified computational fluid dynamics/heat transfer (CFD/HT) model for a unit cell of a data center with a hot aisle-cold aisle (HACA) layout is simulated. Inefficiencies dealing with the mixing of hot air present in the room, with the cold inlet air leading to a loss of cooling potential are identified. For existing facilities, an algorithm called the Ambient Intelligence based Load Management (AILM) is developed which enhances the net data center heat dissipation capacity for given energy consumption at the facilities end. It gives a scheme to determine how much and where the computer loads should be allocated, based on the differential loss in cooling potential per unit increase in server workload. While the gains predicted are validated numerically initially, experimental validation is conducted using server simulators. For new facilities, a novel layout of the data center is designed, which uses scalable pods (S-Pod) based cabinet arrangement and air delivery. For the same floor space, the S-Pod and HACA facilities are simulated for different velocities, and the results are compared. An approach to incorporate heterogeneity in data centers, both for lower heat dissipation and liquid cooled racks has been established. Various performance metrics for data centers have been analyzed and sorted on the basis of their applicability. Finally, a roadmap for the transformation of the existing facilities to a state of higher cognizance of Facilities/IT performance is laid out.

Energy Efficient Thermal Management of Data Centers

2012-03-23 Science
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Release : 2012-03-23
Genre : Science
Kind : eBook
Book Rating : 238/5 ( reviews)

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Book Synopsis Energy Efficient Thermal Management of Data Centers by : Yogendra Joshi

Download or read book Energy Efficient Thermal Management of Data Centers written by Yogendra Joshi. This book was released on 2012-03-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Center Handbook

2014-12-22 Computers
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Release : 2014-12-22
Genre : Computers
Kind : eBook
Book Rating : 636/5 ( reviews)

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Book Synopsis Data Center Handbook by : Hwaiyu Geng

Download or read book Data Center Handbook written by Hwaiyu Geng. This book was released on 2014-12-22. Available in PDF, EPUB and Kindle. Book excerpt: Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build "green" data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.

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