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Data Center World 2022

Data Center World delivers expert strategy and insight on the technologies and concepts you need to know to plan, manage, and optimize your data center. Data Center World 2022 educational conference programming is focused on the rapidly advancing data center technologies like edge computing, co-location, hyperscale, and predictive analytics - all within a rapidly changing global business climate -- in order to give attendees a leg up on their competitors to become the new trailblazers of the data center. Click on session titles for full session descriptions. All times noted are in CST (Austin, Texas time zone).
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Data centers: Energy consumption is all about workloads

Levy, Moises (PhD)  (Principal Analyst - Data center physical infrastructure, OMDIA)

Date: Tuesday, March 29

Time: 11:00 am - 11:50 am

Pass type: All Access, Industry Conference, Standard - Get your pass now!

Track: Design, Build, Operate, Control

Session Type: Session

Vault Recording: TBD

Audience Level: All

OMDIA

Data centers are energy-intensive facilities responsible for about 1% of total electricity consumption worldwide. Workload management is not a simple strategy and requires planning for a successful outcome. This presentation highlights the importance of understanding workloads and their management, their impact on energy consumption, and the physical environment of data centers, and reviews formulas to quantify them. Data center operators must understand, measure, and predict workloads to allocate them in an optimized way.

Takeaway

* Recognize the importance of understanding workloads and their management.
* Understand how workloads management impact on energy consumption and the physical environment of data centers.
* The goal is to implement a multi-objective optimization strategy for workload management.

Intended Audience

* Recognize the importance of understanding workloads and their management.
* Understand how workloads management impact on energy consumption and the physical environment of data centers.
* The goal is to implement a multi-objective optimization strategy for workload management.