Lu dans le “EU Code of Conduct for Data Centres”, data management Best practices…

Ce document publié par la Commission Européenne a pour vocation de définir des règles de meilleures pratiques pour les centres de données européens. Il est pour l’instant indicatif.

Pour tous les détails voir le blog Informatique Durable : Code de conduite européen pour les centres de données… 

Le document sur les meilleures pratiques comporte un chapitre sur la gestion des données, que je recopie intégralement ci-dessous :

From The Best Practice Guidelines, version 1 ( .pdf ) :

3.3.1 Data Management
Storage is a major growth area in both cost and energy consumption within the data centre. It is generally recognised that a significant proportion of the data stored is either unnecessary or duplicated nor requires high performance access and that this represents an organisational challenge. Some sectors have a particular issue due to very broad and non specific data retention directions from governments or regulating bodies. Where there is little structure to the data storage, implementation of these regulations can cause large volumes of data not required by the regulations to be unnecessarily heavily protected and archived.
 

Type

Description

Expected

Value

Data management policy

Develop a data management policy to define which data should be kept, for how long and at what level of protection. Communicate the policy to users and enforce. Particular care should be taken to understand the impact of any data retention requirements,

Yes

3

Separate user logical data storage areas by retention and protection policy

Provide users with multiple data storage areas which are clearly identified by their retention policy and level of data protection. Communicate this policy to users to enable them to store data in an area which matches the required levels of protection and retention. This is particularly valuable where strong retention requirements exist as it allows data subject to those requirements to be separated at source presenting substantial opportunities for cost and energy savings. Where possible automate the application of these policies.

No

3

Separate physical data storage areas by protection and performance requirements

Create a tiered storage environment utilising multiple media types delivering the required combinations of performance, capacity and resilience. Implement clear guidelines on usage of storage tiers with defined SLAs for performance and availability. Consider a tiered charging model based on usage at each tier.

No

4

Select lower power storage devices

When selecting storage hardware evaluate the energy efficiency in terms of the service delivered per Watt between options. This may be deployment specific and should include the achieved performance and storage volume per Watt as well as additional factors where appropriate, such as the achieved levels of data protection, performance availability and recovery capability required to meet the business service level requirements defined in the data management policy.

Evaluate both the in use power draw and the peak power of the storage device(s) as configured, both impact per device cost and energy consumption through provisioning.

No

3

Reduce total data volume

Implement an effective data identification and management policy and process to reduce the total volume of data stored. Consider implementing ‘clean up days’ where users delete unnecessary data from storage.

No

4

Reduce total storage

volume

Implement the data management policy to reduce the number of copies of data, both logical and physical (mirrors). Implement storage subsystem space saving features, such as space efficient snapshots / copies or compression. Implement storage subsystem thin provisioning features where possible.

No

4