Download free course Energy Efficient Servers, pdf file on 347 pages by Corey Gough, Ian Steiner, Winston Saunders.
Energy Efficient Servers: Blueprints for Data Center Optimization introduces engineers and IT professionals to the power management technologies and techniques used in energy efficient servers. The book includes a deep examination of different features used in processors, memory, interconnects, I/O devices, and other platform components. It outlines the power and performance impact of these features and the role firmware and software play in initialization and control. Using examples from cloud, HPC, and enterprise environments, the book demonstrates how various power management technologies are utilized across a range of server utilization. It teaches the reader how to monitor, analyze, and optimize their environment to best suit their needs. It shares optimization techniques used by data center administrators and system optimization experts at the world's most advanced data centers.
Table of contents
- Why Data Center Efficiency Matters
- CPU Power Management
- Memory and I/O Power Management
- Platform Power Management
- BIOS and Management Firmware
- Operating Systems
- Monitoring
- Characterization and Optimization
- Data Center Management
- Technology and Terms
Pages : | 347 |
Size : | 7.1 MB |
Downloads: | 67 |
Created: | 2022-02-02 |
License: | CC BY-NC-ND |
Author(s): | Corey Gough, Ian Steiner, Winston Saunders |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Energy Efficient Servers
Download free course RavenDB in Action, pdf file on 221 pages by Itamar Syn-Hershko.
Download free course DevOps in Practice, pdf file on 36 pages by J. Paul Reed.
Download free course Handbook on Craniofacial Superimposition, pdf file on 239 pages by Sergio Damas, Oscar Cordón, Oscar Ibáñez.
Download free course Azure DevOps Succinctly, pdf file on 112 pages by by Sander Rossel.
Download free course Ernst Denert Award for Software Engineering 2019, pdf file on 142 pages by Michael Felderer, Wilhelm Hasselbring, Heiko Koziolek, Florian Matthes, Lutz Prechelt, Ralf Reussner, Bernhard Rumpe, Ina Schaefer.