Who is Responsible for Data Center Efficiency?

Slides:

Advertisements

Similar presentations

Data Center Design Issues Bill Tschudi, LBNL

Advertisements

PG&E and Altera Data Center Energy Efficiency Project.

ENERGY EFFICIENT DATA CENTRES – AN OVERVIEW Professor Peter James.

1. 3 P10711 – Wegmans Meat Tumbler Interested in… Interested in… Lean Engineering Lean Engineering Ergonomics Ergonomics Process Redesign.

Department of Environmental Conservation

Web-based Distributed Flexible Manufacturing System (FMS) Monitoring and Control Student: Wei Liu Instructor: Dr. Chang Apr. 23, 2003.

OHT 2.1 Galin, SQA from theory to implementation © Pearson Education Limited 2004 What is software? Software errors, faults and failures Classification.

Induction motor nameplate. Nameplate Data (continued) Nominal Efficiency –Average efficiency of many samples Guaranteed Efficiency –Minimum efficiency.

Green Data Center?  Reduces Data Center energy costs  Virtual Technology Implementation  Utilization improvement.

What is an Information System? Input of DataResourcesProcessing Data Data Control of System Performance Storage of Data Resources Output of InformationProducts.

24 x 7 Energy Efficiency February, 2007 William Tschudi

Ivo Pinkiewicz, IENOT, POLAND DISTRIBUTION TRANSFORMER POPULATION and EFFICIENCY LEVELS IN POLAND.

National Street Lighting Consortiums: International examples and a potential opportunity for India Kavita Ravi, US Department of Energy March 21, 2013.

1.Microsoft Office WordPerfect Suite Enterprise Resource Planning systems. 4.Lotus Sametime systems. 5.Integrated database systems. A suite.

Data Centers - They’re Back… E SOURCE Forum September, 2007 William Tschudi

McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 14 MRP and ERP.

SE513 Software Quality Control Lecture01: Introduction to Software Quality Assurance Galin, SQA from Theory to Education Limited.

Creating a Green Infrastructure. Driving Forces in NM  2004 “Clean Energy State”  EO  Solar Incentives  Sustainable Building Tax Credit.

GAMMELGARD SE Session 5 – Block 2 – Paper 39 Barcelona May The challenge of regulating natural monopolies in electrical distribution – experices.

IT & Business Models Market Systems Chp. 8. The Business Model (p. 113) Market/industry Customers, competition Offering Environment Physical and service.

Overview of Data Center Energy Use Bill Tschudi, LBNL

Citizens’ Commission for Children Professional Opportunities Program for Students (POPS) Family Services Department August 4, 2015.

Thirty-six years of experience in  Customer Service, Call Centers, Commercial, Manufacturing, Food & Distribution Environments  Serving Over 1,500 Demanding.

OHT 1.1 Galin, SQA from theory to implementation © Pearson Education Limited 2004 The uniqueness of software quality assurance The environments for which.

Power Usage Effectiveness Index- Electrical Systems DATA CENTER Hareesha K Texas Instruments.

1 MRP and ERP Chapter Transparency on aggregate to master plan.

Modeling Mobile-Agent-based Collaborative Processing in Sensor Networks Using Generalized Stochastic Petri Nets Hongtao Du, Hairong Qi, Gregory Peterson.

The Data Center Challenge

CS 1120: Computer Science II Software Life Cycle Slides courtesy of: Prof. Ajay Gupta and Prof. James Yang (format and other minor modifications by by.

Energy Efficient Data Centers Update on LBNL data center energy efficiency projects June 23, 2005 Bill Tschudi Lawrence Berkeley National Laboratory

Electrical Systems Efficiency Bill Tschudi, LBNL

Information Technology Services Strategic Directions Approach and Proposal “Charting Our Course”

Documenting a function. Documenting a function definition We have a template for information that we need you to put at the top of each function - if.

-DEVELOP A LICENSING PROGRAM SEM II-2.07B. How to develop a licensing program 1. Perform nonmarketing activities.  May need an attorney for trademark.

McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 10 MRP and ERP.

Data Center Energy Efficiency SC07 Birds of a Feather November, 2007 William Tschudi

1 Copyright © 2016, The Green Grid The webcast will begin shortly Today’s live session will be recorded.

Enabling High Efficient Power Supplies for Servers

Fifty Questions What Business and IT Officers Need to Know about their Campus’ Carbon Emissions Did your CEO sign the American College and University.

Software Quality Control and Quality Assurance: Introduction

The Data Center Challenge

Procuring Professional Services

Electrical Systems Efficiency

CLIC Civil Engineering & Infrastructure Working Group Meeting

Principle of management section2

DOE Data Center Energy Efficiency Program and Tool Strategy

Data Center Research Roadmap

Centralized versus Distributed Project Management Framework

Verifying – Evaluating Software Estimates

LOGISTICS NETWORK.

Achieving Operational Excellence and Customer Intimacy:Enterprise Applications Chapter 9 (10E)

GE Critical Power Houston Engineering Seminar July 16th & 17th

Enterprise Integration: Workflow

INFS 6225 – Object-Oriented Systems Analysis & Design

TopBuild Inc. Timothy O’Brien.

What is software quality?

Supply Chain Technology – What is Working, What is Not, and Where We are Going Executive Seminar September, 2005.

فلوشیپ اخلاق زیست پزشکی استادیار دانشگاه علوم پزشکی ایران

14 MRP and ERP.

CS 1120: Computer Science II Software Life Cycle

Direct Current (DC) Data Center

Operating Systems.

What is software quality?

Go To How did it start Who is using it

Chapter # 1 Overview of Software Quality Assurance

Programme Educational Objectives (PEOs)

CS 1120: Computer Science II Software Life Cycle

PLANNING & SCHEDULING (First Part)

2. Coordinates.

Microsoft Azure Services Platform

Presentation transcript:

Who is Responsible for Data Center Efficiency? Typical Engineering Design Approach Data center designer Specifying of efficient MEP systems AC/DC distribution Higher voltage distribution Net effect of related codes Data center operator Actual procurement and implementation Redundancy versus efficiency Aisle containment DCIM

Who is Responsible for Data Center Efficiency? IT Professionals Server selection criteria Coordination with operations Focus on Server Manufacturers Internal component review Nameplate data Butterfly effect Revisionist history Questions