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Erick Butler Poletto (Matricola: 720403) Ricardo Alexandre Fiorelli (Matricola: 719874) Prof.ssa Chiara Francalanci July 21 th , 2009

Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

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Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools. Erick Butler Poletto (Matricola: 720403) Ricardo Alexandre Fiorelli (Matricola: 719874) Prof.ssa Chiara Francalanci. July 21 th , 2009. Outline. Introduction Research Objectives Methodology - PowerPoint PPT Presentation

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Page 1: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Erick Butler Poletto (Matricola: 720403)Ricardo Alexandre Fiorelli (Matricola: 719874)

Prof.ssa Chiara Francalanci

July 21th, 2009

Page 2: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Introduction Research Objectives Methodology Analysis and Conclusions Further Work

Page 3: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

What is Green Computing? Green ICT Phases

◦ Assessment and Action Plan Green ICT Benefits:

◦ Reduction of costs ◦ Reduction of power consumption◦ Reduction of data center used area◦ Marketing strategy

Page 4: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Reduce the burden of ICT on the environment

Green of ICT Green by ICTReduce the burden

on the environment by

improving efficiency through

the use of ICT•Data Center Centralization•Hosting

•Communication•Remote Data Access

rifiorelli
- There are two approaches to address a green ict solution- Explain both approaches, briefly- Say we are going to focus on the "Green of ICT"
Page 5: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Machine Configuration Policies / Tools / Labels Thin Client Architectures Virtualization in servers Data Storage Power Architectures Cooling

Page 6: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Introduction Research Objectives Methodology Analysis and Conclusions Further Work

Page 7: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Objectives Benefits

Creation of a Database of components

Evaluate power consumption data of a benchmarking tool (SANDRA)

Identification of critical power consumption spots in a datacenter

Easy choice of power-efficient machine configurations

Page 8: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Introduction Research Objectives Methodology Analysis and Conclusions Further Work

Page 9: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

For Database of Components:◦ SiSoftware Sandra◦ WebSPHINX (web crawler)

For Data Validation:◦ Energy Measurement Device

Page 10: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Benchmark for several typologies of components

Database of components that permits comparisons between them

Provides information about components power, performance and price

Page 11: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools
Page 12: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Main source of gathered data Sandra database – no centralized

component repository Each benchmark has its own list of

components Solution:

◦ Introduction of the MPN code

Page 13: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools
Page 14: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Set of categories and relations:◦ Classification Relations◦ Characteristic Relations◦ Benchmark Relations◦ Price Relation

Provides a way to compare and evaluate the data center components

Page 15: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Validate the measures from Sandra

Page 16: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Introduction Research Objectives Methodology Analysis and Conclusions Further Work

Page 17: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Comparison between: ◦ Sandra estimated processor power ◦ Nominal processor power (specification)

Sandra measured power > nominal power for 30% of the components

Page 18: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Idle and stressed processor

Page 19: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Why Sandra is not reliable?◦ Sandra power estimates can be are higher than

nominal power◦ Its measures differ by a large margin from the

ones made with the measuring tool

Page 20: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Possible reasons for observed Sandra innacuracies:◦ Not centralized component database

Sandra may associate the benchmarked component to a different one in its database

◦ Power information can be erroneous◦ Power information is not associated with the

machine workload Does it refer to idle or stressed component?

Page 21: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Measurement error sources:◦ Power hypotheses:

Hard Drives and Wireless << Processor, Memory or PSU

◦ Oscillations in measurement◦ Use of PSU and monitor power estimates

Page 22: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Although the measurements were not completely accurate themselves, Sandra was regarded as non reliable◦ Sum of hard disk and wireless card powers usually

is around 2,5W◦ For a certain operation level, the measured power

did not oscillate much◦ In some cases, Sandra provided a processor power

estimate incoherent with their nominal power◦ The error commited in the estimates of the PSU

and monitor power do not explain the observed deviations

Page 23: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

The database of components is a very effective tool

With relation to power consumption, Sandra is not the best source of data

Other sources of power-related data should be considered

Page 24: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Introduction Research Objectives Methodology Analysis and Conclusions Further Work

Page 25: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Automated update of the database. A back-end robot would crawl the web for new components and their specifications/prices

Use of a new source of power-related data

a GUI front-end software for an interactive and effective way of comparing the components

Page 26: Data Center Energy Efficiency: Analysis and Test of Energy Consumption Benchmark Tools

Erick Butler PolettoRicardo Alexandre Fiorelli