Standard

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 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 30134-3:2016

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 30134-2:2016

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 30134-1:2016 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.

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 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.

This document specifies application platform energy effectiveness (APEE) as a Key Performance Indicator (KPI) which quantifies the energy effectiveness of an application platform for an IT service in data centres. This KPI evaluates the energy consumption of an application platform prior to deployment. The purpose of this KPI is to measure the energy effectiveness of a set of target IT equipment, operating systems and middleware, to enable the selection of an energy effective IT stack.

This document specifies a formula for calculating APEE and definitions of components of the formula.

This document specifies a measurement method for assessing and reporting the energy effectiveness of an application platform.

This document also specifies requirements for benchmarks to be used for APEE and requirements for reporting.

The following topics are outside of the scope of this document:

1)    KPIs intended to solely evaluate the energy effectiveness of target IT equipment hardware,

2)    energy effectiveness of data centre facilities.

This document describes the treatment of data centre metrics in circumstances where electrical energy is stored and exported from within the data centre boundaries of other standards in the ISO/IEC 30134 series.

This document specifies the Excess Electrical Energy Factor (XEEF) as a Key Performance Indicator (KPI) to quantify the electrical energy provided back from data centre to the utility.

This document has the structure common to the standards of the ISO/IEC 30134 series.

This document proposes elements for the expression of energy production, storage, reuse and consumption in reference to primary energy in data centres, taking into account both the elements needed for energy assessment and the concepts developed in the framework of the ISO 52000 series for energy performance of buildings (EPB).

This document:

—    provides the main definitions and concepts from the ISO 52000 series needed to make a primary energy assessment for data centres;

—    provides approaches for discriminating true sources of energy used by a given data centre;

—    compares, where relevant, the terms used in both the ISO/IEC 30134 series and ISO 52000 series and provides explanations on the use of factors for converting final or delivered energy to primary energy which take a different approach in each series (and how to move from one to the other);

—    illustrates the impact of using the EPB approach on data-centre-energy-related key performance indicators (KPIs), both in general and by the provision of examples;

—    provides known sources of weighting or conversion factors to be used when there are no recognized or agreed local factors applicable to the studied data centre energy performance assessment.

This document specifies a measurement method to assess and report the energy effectiveness of a computer server. This document does not set any pass/fail criteria for servers.

ISO/IEC TR 20913:2016 describes backgrounds, motivation, and general concept of holistic methodology for data centre key performance indicators (KPIs) to investigate the status of KPIs. It discusses the usefulness of holistic investigation methodology in terms of aggregating a KPI across different contexts, aggregation of two or more KPIs within a single context, aggregation of two or more KPIs across multiple contexts, and aggregation of the multiple KPIs into a single indicator. This document presents a conventional spider web chart-based data centre KPIs status observation method and a control chart method including upper bound and lower bound of the operational status of KPIs. This document presents SWOT analysis results for both methodologies. The methods described in this document are aimed at the self-monitoring of a data centre, not comparison among data centres.

Specifically, ISO/IEC TR 20913:2016

a) describes backgrounds, motivation, and general concept of holistic investigation methodology for data centre KPIs,

b) analyses the usefulness of holistic investigation methodology for aggregating KPIs,

c) describes a spider web chart-based KPIs status observation method and a control chart extending spider web chart to observe the operational status of KPIs,

d) describes alternative and/or additional methods of representing dissimilar KPIs to track holistic resource effectiveness of the data centre, and

e) presents SWOT analysis results for holistic investigation methods described in this document.