Chapter 20: Data Center IT Efficiency Measures

2015 ◽  
Author(s):  
Robert Huang ◽  
Eric Masanet
Keyword(s):  
Data Center ◽  
Efficiency Measures ◽  
It Efficiency

Thermal Profiling of a Small Operational Data Center

2019 ◽  
Author(s):  
İsmail Türkmen ◽  
Cem Ahmet Mercan ◽  
Hamza Salih Erden
Keyword(s):  
Energy Efficiency ◽  
Boundary Conditions ◽  
Data Center ◽  
High Performance ◽  
Performance Indicator ◽  
Thermal Environment ◽  
Airflow Rate ◽  
Cfd Model ◽  
Energy Efficiency Measures ◽  
Efficiency Measures

Abstract This study highlights experimental challenges of setting up a computational fluid dynamics (CFD) model of a 180-m2 small-size high-performance computing (HPC) data center (DC) in a university campus and the validation procedure leading to a reasonably accurate CFD model for the investigation of the thermal environment. Experimental results based on temperature, airflow, pressure, and power measurements help to confirm and identify inefficient design and operational practices as well as problematic areas regarding the thermal management, define the boundary conditions and validate CFD models. Leaky floors, uneven placement of computing equipment and perforated tiles preventing separation of hot and cold air, low-temperature operation, excessive cooling capacity and fan power were identified sources of energy inefficiency in the DC. CFD model predictions were gradually improved by using experimental measurements in various boundary conditions and detailed geometrical representation of large leakage openings. The performance indicator of the CFD model during the validation process was the temperature prediction error at the rack inlets and exits. After all improvements, the CFD model can make estimations with an error less than 1°C (RMSE < 1.0) at the rack inlet and less than 5°C (RMSE < 5.0) at the rack outlet. The validated CFD model tests the feasibility of various energy efficiency measures. These measures are in the form of operational or design changes in line with the best practices. Impact of leakage between the raised floor and the room, reduced airflow rate, cold-aisle and hot-aisle separation, workload consolidation, and higher temperature operation were among the phenomena tested by using the validated CFD model. The estimated power usage effectiveness (PUE) value reduced from 1.95 to 1.40 with the implemented energy efficiency measures.

Data Center Trends Toward Higher Ambient Inlet Temperatures and the Impact on Server Performance

2013 ◽  
Author(s):  
Aparna Vallury ◽  
Jason Matteson
Keyword(s):  
Best Practices ◽  
Data Center ◽  
Design Guidelines ◽  
Thermal Design ◽  
Ambient Conditions ◽  
Performance Impact ◽  
Worst Case ◽  
Inlet Conditions ◽  
It Efficiency ◽  
The Impact

With the extension of the 2011 ASHRAE Thermal Design Guidelines to incorporate a broader Class A3 and A4 specification, the server industry is trying to adapt to the changing landscape of industry best practices and initiatives, and adopt the new ASHRAE Class A3 and A4 environments. In order to accommodate the high ambient inlet conditions while meeting the IT efficiency initiatives in the industry, certain design considerations must occur and it becomes very important to understand the implication of adhering to Class A3 and A4 environments on the performance of the servers. This paper describes a study that was conducted to understand the impact on performance of different servers under various workloads and inlet ambient conditions specifically adhering to class A3 specification only. The results from the study are presented in this paper which shows that no performance impact was observed in a 35°C environment, and bounded by 2% running worst case applications at 40°C and 0% when running lighter loads.

Analysis on Buffer Occupancy of Quantized Congestion Notification in Data Center Networks

2016 ◽  
Vol E99.B (11) ◽  
pp. 2361-2372 ◽  
Author(s):  
Chang RUAN ◽  
Jianxin WANG ◽  
Jiawei HUANG ◽  
Wanchun JIANG
Keyword(s):  
Data Center ◽  
Data Center Networks ◽  
Buffer Occupancy

Virtual Network Configuration Management System for Data Center Operations and Management

2012 ◽  
Vol E95.B (6) ◽  
pp. 1924-1933 ◽  
Author(s):  
Hideki OKITA ◽  
Masahiro YOSHIZAWA ◽  
Keitaro UEHARA ◽  
Kazuhiko MIZUNO ◽  
Toshiaki TARUI ◽  
...  
Keyword(s):  
Data Center ◽  
Management System ◽  
Configuration Management ◽  
Virtual Network ◽  
Network Configuration
Sign in / Sign up

Export Citation Format

Share Document