Data Centres

Available (26)

Showing 1 - 12 per page



Information technology — Sustainability for and by information technology — Smart data centre resource monitoring and control

ISO/IEC 19395:2015 provides Messages that facilitate integrated or "smart" monitoring and control of Resources in those islands. The Messages are exchanged between the Management Function and Resources. ISO/IEC 19395:2015 acknowledges that those Resources may be composed of other Resources (e.g. a rack may contain servers, ventilators, etc.). In addition, e.g. those servers may be viewed from their computing, energy consumption or dissipation aspects which ISO/IEC 19395:2015 models as Resource Components and groups into IT, power and fluid Domains, respectively.

ISO/IEC 19395:2015

Information technology - Data centres key performance indicators - Part 9: Water usage effectiveness (WUE)

This document specifies water usage effectiveness (WUE) as a key performance indicator (KPI) for quantifying the water consumption of a data centre during the use phase of the data centre life cycle.

WUE is a simple method for reporting the water intensity of the data centre operating. By reporting water consumption, it is possible to present the data centre's resource effectiveness.

This document:

a) defines the WUE of a data centre;

b) introduces WUE measurement categories;

c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations;

d) defines the measurement, the calculation and the reporting of the parameter; and

e) provides information on the correct interpretation of the WUE.

ISO/IEC 30134-9:2022

Information technology - Data centres key performance indicators - Part 8: Carbon usage effectiveness (CUE)

This document specifies carbon usage effectiveness (CUE) as a key performance indicator (KPI) for quantifying the CO2 emissions of a data centre during the use phase of the data centre life cycle.

CUE is a simple method for reporting the CO2 intensity of the data centre operating. By reporting CO2emissions, it is possible to present the data centre's contribution to climate change (enhanced greenhouse effect).

This document:

a) defines the CUE of a data centre;

b) introduces CUE measurement categories;

c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations;

d) defines the measurement, the calculation and the reporting of the parameter; and

e) provides information on the correct interpretation of the CUE.

ISO/IEC 30134-8:2022

Information technology - Data centres key performance indicators - Part 7: Cooling efficiency ratio (CER)

This document specifies the cooling efficiency ratio (CER) as a key performance indicator (KPI) for quantifying the efficient use of energy to control the temperature of spaces within a data centre (DC).

This document:

a)    defines the CER of a DC;

b)    describes the relationship of this KPI to a DC’s infrastructure, information technology equipment and information technology operations;

c)    defines the measurement, the calculation and the reporting of the parameter; and

d)    provides information on the correct interpretation of the CER.

Annex A describes the correlation of the CER and other KPIs.

Annex B provides examples of the usage of the CER.

Annex C introduces the parameters that affect the CER.

Annex D describes requirements and recommendations for derivatives of KPIs associated with the CER.

This document is not applicable to cooling systems that are not powered by electricity (e.g. heat-driven absorption chillers).

ISO/IEC 30134-7:2023

Information technology - Data centres key performance indicators - Part 6: Energy Reuse Factor (ERF)

This document specifies the energy reuse factor (ERF) as a KPI to quantify the reuse of the energy consumed in a data centre. ERF is defined as the ratio of energy being reused divided by the sum of all energy consumed in a data centre. The ERF does reflect the efficiency of the reuse process; the reuse process is not part of a data centre.

ISO/IEC 30134-6:2021

Information technology - Data centres - Key performance indicators - Part 5: IT Equipment Utilization for servers (ITEUsv)

ISO/IEC 30134-5:2017 specifies the IT Equipment Utilization for servers (ITEUsv) as a Key Performance Indicator (KPI) to quantify the utilization of servers in a data centre. ISO/IEC 30134-5:2017 is intended as a KPI for improving the aggregate energy efficiency of servers in a given data centre.

ISO/IEC 30134-5:2017

a) describes the purposes of ITEUsv,

b) defines ITEUsv in a conceptual manner,

c) describes how to use ITEUsv, and

d) describes reporting of ITEUsv.

ISO/IEC 30134-5:2017

Information technology - Data centres - Key performance indicators - Part 4: IT Equipment Energy Efficiency for servers (ITEEsv)

ISO/IEC 30314-4:2017 specifies Information Technology Equipment Energy Efficiency for servers (ITEEsv), a key performance indicator (KPI) which quantifies the energy efficiency characteristics of servers in a data centre. ITEEsv can be calculated using a choice of pre-existing or context specific server performance benchmarks. ITEEsv intends to assist in improving the aggregate energy effectiveness of servers in a given data centre.

ISO/IEC 30314-4:2017:

a) defines ITEEsv;

b) describes the purpose of ITEEsv;

c) describes how to use ITEEsv;

d) describes reporting of ITEEsv.

ISO/IEC 30134-4:2017

Information technology — Data centres — Key performance indicators — Part 3: Renewable energy factor (REF) - Amendment 1

ISO/IEC 30134-3:2016

a) defines the renewable energy factor (REF) of a data centre,

b) specifies a methodology to calculate and to present the REF, and

c) provides information on the correct interpretation of the REF.

ISO/IEC 30134-3:2016/AMD1:2018

Information technology — Data centres — Key performance indicators — Part 2: Power usage effectiveness (PUE) - Amendment 1

ISO/IEC 30134-2:2016

a) defines the power usage effectiveness (PUE) of a data centre,

b) introduces PUE measurement categories,

c) describes the relationship of this KPI to a data centre's infrastructure, information technology equipment and information technology operations,

d) defines the measurement, the calculation and the reporting of the parameter,

e) provides information on the correct interpretation of the PUE.

PUE derivatives are described in Annex D.

ISO/IEC 30134-2:2016/AMD1:2018

Information technology - Data centres - Key performance indicators - Part 1: Overview and general requirements - Amendment 1

ISO/IEC 30134-1:2016 specifies the following for the other parts of ISO/IEC 30134:

a) a common structure;

b) definitions, terminology and boundary conditions for KPIs of data centre resource usage effectiveness and efficiency;

c) common requirements for KPIs of data centre resource usage effectiveness and efficiency;

d) common objectives for KPIs of the data centre resource effectiveness and efficiency;

e) general information regarding the use of KPIs of data centre resource usage effectiveness and efficiency.

ISO/IEC 30134-1:2016/AMD1:2018

Information technology - Data centres - Practices for resource-efficient data centres

This document describes generally applicable practices for improving the resource efficiency of data centres, independent of their application(s).

This document focuses on continuous improvement processes, designs and guidelines that prioritize resource efficiency. In general, the processes and practices are technology-neutral and are independent of location.

The practices for data centre resource efficiency improvement deal with various establishment and operation aspects such as data centre planning, management, cooling, power feeding, information and communications technology (ICT) and cost aspects that are not restricted by the scope of this document.

The following items are not included in the scope of this document:

—    development of key performance indicators (KPIs);

—    comparability between data centre performance results;

—    definition of maturity model for data centres;

—    social sustainability issues.

ISO/IEC TR 30133:2023

Information technology - Information technology sustainability - Energy efficient computing models - Part 1: Guidelines for energy effectiveness evaluation

ISO/IEC TR 30132-1:2016 establishes guidelines for improving the energy effectiveness for computing models. Specifically, this document provides

- a reference computing model for evaluating end-to-end energy effectiveness,

- a holistic framework for evaluating the applicability of energy effectiveness improving technologies, and

- guidelines for evaluating energy effectiveness.

ISO/IEC TR 30132-1:2016