SlideShare a Scribd company logo
1 of 25
Think Green
Analyzing and Optimizing Power Consumption

Dhanashri Phadke
Symantec

Voices 2014

1
Agenda
1

Why the need

2

Tools

3

Analysis

4

Green Technologies

5

Summary
Voices 2014

2
Why the need

More than 5 billion
people are calling,
texting, tweeting and
browsing on mobile
phones worldwide.

2.7 Zetabytes of data
exist in the digital
universe today

Almost every way we
make electricity
today, except for the
emerging renewables
and nuclear, puts out
CO2. And so, what we're
going to have to do at a
global scale, is create a
new system. And so, we
need energy miracles.
- Bill Gates

More than 200bn HD
movies – which would
take a person 47m
years to watch.

Walmart handles one
million transactions
every hour –
2.5 petabytes in db

Voices 2014

3
Why the need

Measure

Improve

Analyze

Voices 2014

4
Power measurement
Going to discuss further :
• Joulemeter

• JouleX Energy Manager
• ipmitools

Other available :
• PowerTOP
– Linux tool

Voices 2014

5
Joulemeter
• Windows Tool
• Estimates energy usage of VM , Server , Application

• Power management of various components CPU , memory ,
storage , applications
• Computational Energy Measurement

Voices 2014

6
Joulemeter output for a backup job

Voices 2014

7
Joulex Energy Manager
• Monitor, analyze, and manage energy usage of all network IP
connected devices

• Web browser based user interface
• Agentless
• SNMP, Windows Management Instrumentation (WMI), HP
integrated Lights-out (iLO), VMI

• 1 controller monitors up to 50,000 devices

Voices 2014

8
Ipmitool
• The Intelligent Platform Management Interface (IPMI) is a
standardized computer system interface used by system
administrators for out-of-band management of computer
systems and monitoring of their operation.
• IPMI provides monitoring, management
voltage, temperature, fans, power supplies, hardware inventory
information and etc.

• IPMItool provides a simple command-line interface to IPMIenabled devices

Voices 2014

9
Cutting Edge 2012-13

‹#›
Analysis - Power usage of CPU
25

Watts
20

15

1 backup
5 backups
10

5

0
4
8
12
16
20
25
29
33
38
42
47
52
56
60
64
68
73
77
81
85
89
93
97
101
106
110
114
118
122
127
131
135
139
144
148

0

Seconds

Voices 2014

11
Green Technologies

Deduplication
Virtualization

Storage Tiering
Cloud Computing
Data Archival

Voices 2014

12
Deduplication
• Data deduplication is a method of reducing storage needs by
eliminating redundant data.

• Single instance storage
• Only one unique instance of the data is actually retained on
storage media
• Global data deduplication

• Inline duplication
• Post-processing duplication

Voices 2014

13
Deduplication
File 1
A

B

Backend
De-Duplicated
Storage

C

File 2
D

A

E

B

A

C

D

B

X

E

X

D

Y

Y
Full Data Added
Reference Added Only

Voices 2014

14
Voices 2014

15
Review

First Version

Revisions

Process

2MB

5.6 MB

3 people

5.6 MB

Full
backup’s
1 year
5.6 MB

With DR

1 site
11.2 MB

Voices 2014

16
Virtualization
• Enables multiple heterogeneous operating systems to run
simultaneously on the same physical hardware .

• This is advantageous because running a single operating system
on a modern high-powered server will almost certainly result in
that server being severely underutilized.
• In fact, in many businesses, servers are operating at anywhere
between 5 and 25 percent of their total load capacity, thus
wasting a substantial amount of processing power.

Voices 2014

17
Virtualization
Today

Tomorrow

Production Environment

Challenges
• Application and
Data Availability
• Control Server
Sprawl
• Optimize
Utilization

Test/Dev Environment

Voices 2014

18
Storage Tiering
• Assignment of different categories of data to different types of
storage media

• Deriving value from multiple tiers of storage is to place each file
on the appropriate type of storage device based on a number of
criteria according to the business needs .
• Categories may be based on levels of protection
needed, performance requirements, frequency of use, and
other considerations

Voices 2014

19
Storage Tiering
Situation

Solution

Volume Based Tiering
Prod DB

Scratch Files

Prod DB
User Files

Temp DB

Storage
Tiering

User Files
Prod DB

ScratchDB
Prod Files

Backup

User Files

Aged Files

Snapshot

Aged Files

Prod Files
Scratch DB

Prod DB

User Files

Scratch Files

Prod DB

Temp DB

Scratch Files

Backup

User Files

Prod DB

User Files

Scratch Files

Prod DB

Aged Files

Snapshot

Aged Files

Prod DB

Temp DB

Scratch Files

Backup

User Files

Aged Files

Snapshot

Aged Files

Prod DB

Tier 1 Storage

Tier 2 Storage

Dynamic Tiering
Tier 1
Storage

Tier 2
Storage
Aged Files

Snapshot

Aged Files

Scratch Files

Tier 3
Storage

Voices 2014

20
Cloud Computing
• Cloud computing is a general term for anything that involves
delivering hosted services over the Internet

• These services are broadly divided into three categories:
Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS)
and Software-as-a-Service (SaaS)
• Cloud computing is a type of computing that relies on sharing
computing resources rather than having local servers or
personal devices to handle applications.

Voices 2014

21
Data Archival
• Data archiving is the process of moving data that is no longer
actively used to a separate data storage device for long-term
retention.
• Consists of older data that is still important and necessary for
future reference, as well as data that must be retained for
regulatory compliance
• Data archives are often confused with data backups .
• Backup’s are copies of data whereas archives protect older
information that is not needed for everyday operations

Voices 2014

22
Data Archival

Voices 2014

23
23
Summary
• Important to analyze power consumption
• Various tools can be used

• Green Technology

Voices 2014

24
24
Thank you !
Dhanashri Phadke
dhanashri.phadke@gmail.com

Voices 2014

25

More Related Content

What's hot

Introduction to HPC
Introduction to HPCIntroduction to HPC
Introduction to HPCChris Dwan
 
Future Trends in IT Storage
Future Trends in IT StorageFuture Trends in IT Storage
Future Trends in IT StorageTony Pearson
 
MT03 Cloud trends and the Dell Technologies point of view
MT03 Cloud trends and the Dell Technologies point of viewMT03 Cloud trends and the Dell Technologies point of view
MT03 Cloud trends and the Dell Technologies point of viewDell EMC World
 
Agile Data: revolutionizing data and database cloning
Agile Data: revolutionizing data and database cloningAgile Data: revolutionizing data and database cloning
Agile Data: revolutionizing data and database cloningKyle Hailey
 
Persistent RNNs: Stashing Recurrent Weights On-Chip
Persistent RNNs: Stashing Recurrent Weights On-ChipPersistent RNNs: Stashing Recurrent Weights On-Chip
Persistent RNNs: Stashing Recurrent Weights On-ChipBaidu USA Research
 
HPC Advisory Council Stanford Conference 2016
HPC Advisory Council Stanford Conference 2016HPC Advisory Council Stanford Conference 2016
HPC Advisory Council Stanford Conference 2016Baidu USA Research
 
World’s Fastest Image Serving Technology
World’s Fastest Image Serving TechnologyWorld’s Fastest Image Serving Technology
World’s Fastest Image Serving TechnologySiyathokoza Ngcobo
 
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...Dell World
 
IBM Special Announcement session Intel #IDF2013 September 10, 2013
IBM Special Announcement session Intel #IDF2013 September 10, 2013IBM Special Announcement session Intel #IDF2013 September 10, 2013
IBM Special Announcement session Intel #IDF2013 September 10, 2013Cliff Kinard
 
Fujitsu - 27mai2011
Fujitsu - 27mai2011Fujitsu - 27mai2011
Fujitsu - 27mai2011Agora Group
 
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...Citrix
 
MT12 - SAP solutions from Dell – from your Datacenter to the Cloud
MT12 - SAP solutions from Dell – from your Datacenter to the CloudMT12 - SAP solutions from Dell – from your Datacenter to the Cloud
MT12 - SAP solutions from Dell – from your Datacenter to the CloudDell EMC World
 
The economics of backup 5 ways disk backup can help your business
The economics of backup 5 ways disk backup can help your businessThe economics of backup 5 ways disk backup can help your business
The economics of backup 5 ways disk backup can help your businessServium
 
Gary managed services_naples (2)
Gary managed services_naples (2)Gary managed services_naples (2)
Gary managed services_naples (2)Gary Fincher
 
Sources of Secondary Data Collection
Sources of Secondary Data  CollectionSources of Secondary Data  Collection
Sources of Secondary Data CollectionKaushik Deb
 
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der ArendDatacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der ArendHPDutchWorld
 

What's hot (20)

Introduction to HPC
Introduction to HPCIntroduction to HPC
Introduction to HPC
 
EcoCenter
EcoCenterEcoCenter
EcoCenter
 
Future Trends in IT Storage
Future Trends in IT StorageFuture Trends in IT Storage
Future Trends in IT Storage
 
Systore07 V4
Systore07 V4Systore07 V4
Systore07 V4
 
MT03 Cloud trends and the Dell Technologies point of view
MT03 Cloud trends and the Dell Technologies point of viewMT03 Cloud trends and the Dell Technologies point of view
MT03 Cloud trends and the Dell Technologies point of view
 
Agile Data: revolutionizing data and database cloning
Agile Data: revolutionizing data and database cloningAgile Data: revolutionizing data and database cloning
Agile Data: revolutionizing data and database cloning
 
Persistent RNNs: Stashing Recurrent Weights On-Chip
Persistent RNNs: Stashing Recurrent Weights On-ChipPersistent RNNs: Stashing Recurrent Weights On-Chip
Persistent RNNs: Stashing Recurrent Weights On-Chip
 
HPC Advisory Council Stanford Conference 2016
HPC Advisory Council Stanford Conference 2016HPC Advisory Council Stanford Conference 2016
HPC Advisory Council Stanford Conference 2016
 
World’s Fastest Image Serving Technology
World’s Fastest Image Serving TechnologyWorld’s Fastest Image Serving Technology
World’s Fastest Image Serving Technology
 
DR hosting & cloud
DR hosting & cloudDR hosting & cloud
DR hosting & cloud
 
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...
 
High–Performance Computing
High–Performance ComputingHigh–Performance Computing
High–Performance Computing
 
IBM Special Announcement session Intel #IDF2013 September 10, 2013
IBM Special Announcement session Intel #IDF2013 September 10, 2013IBM Special Announcement session Intel #IDF2013 September 10, 2013
IBM Special Announcement session Intel #IDF2013 September 10, 2013
 
Fujitsu - 27mai2011
Fujitsu - 27mai2011Fujitsu - 27mai2011
Fujitsu - 27mai2011
 
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...
Synergy 2015 Session Slides: SYN239 Professional Graphics Delivery With HDX 3...
 
MT12 - SAP solutions from Dell – from your Datacenter to the Cloud
MT12 - SAP solutions from Dell – from your Datacenter to the CloudMT12 - SAP solutions from Dell – from your Datacenter to the Cloud
MT12 - SAP solutions from Dell – from your Datacenter to the Cloud
 
The economics of backup 5 ways disk backup can help your business
The economics of backup 5 ways disk backup can help your businessThe economics of backup 5 ways disk backup can help your business
The economics of backup 5 ways disk backup can help your business
 
Gary managed services_naples (2)
Gary managed services_naples (2)Gary managed services_naples (2)
Gary managed services_naples (2)
 
Sources of Secondary Data Collection
Sources of Secondary Data  CollectionSources of Secondary Data  Collection
Sources of Secondary Data Collection
 
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der ArendDatacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
 

Viewers also liked

Voices 2015-presentation
Voices 2015-presentationVoices 2015-presentation
Voices 2015-presentationDhan12
 
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...Bob Walsh
 
Hastear da bandeira
Hastear da bandeiraHastear da bandeira
Hastear da bandeiracmam11
 
My life in pictures sebrina ghirawoo
My life in pictures sebrina ghirawooMy life in pictures sebrina ghirawoo
My life in pictures sebrina ghirawoosebrina ghirawoo
 
Growing Hibiscus Plants With Colorful Flowers
Growing Hibiscus Plants With Colorful FlowersGrowing Hibiscus Plants With Colorful Flowers
Growing Hibiscus Plants With Colorful FlowersBob Walsh
 
Growing Tropical Plants, Including Plumeria Plants, In Temperate Climates
Growing Tropical Plants, Including Plumeria Plants, In Temperate ClimatesGrowing Tropical Plants, Including Plumeria Plants, In Temperate Climates
Growing Tropical Plants, Including Plumeria Plants, In Temperate ClimatesBob Walsh
 

Viewers also liked (12)

Modals
ModalsModals
Modals
 
Taking the Leap: Entering Organzationhood
Taking the Leap: Entering OrganzationhoodTaking the Leap: Entering Organzationhood
Taking the Leap: Entering Organzationhood
 
Total Rewards Worksheet
Total Rewards WorksheetTotal Rewards Worksheet
Total Rewards Worksheet
 
Voices 2015-presentation
Voices 2015-presentationVoices 2015-presentation
Voices 2015-presentation
 
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...
The Ancient History of Rose Plants - Floribunda, Grandiflora, Hybrid Tea and ...
 
Hastear da bandeira
Hastear da bandeiraHastear da bandeira
Hastear da bandeira
 
НЛП практик
НЛП практикНЛП практик
НЛП практик
 
My life in pictures sebrina ghirawoo
My life in pictures sebrina ghirawooMy life in pictures sebrina ghirawoo
My life in pictures sebrina ghirawoo
 
Growing Hibiscus Plants With Colorful Flowers
Growing Hibiscus Plants With Colorful FlowersGrowing Hibiscus Plants With Colorful Flowers
Growing Hibiscus Plants With Colorful Flowers
 
Growing Tropical Plants, Including Plumeria Plants, In Temperate Climates
Growing Tropical Plants, Including Plumeria Plants, In Temperate ClimatesGrowing Tropical Plants, Including Plumeria Plants, In Temperate Climates
Growing Tropical Plants, Including Plumeria Plants, In Temperate Climates
 
Linksys
LinksysLinksys
Linksys
 
Mga bata araw o kidlat
Mga bata araw o kidlatMga bata araw o kidlat
Mga bata araw o kidlat
 

Similar to Voices presentation

A Time Traveller’s Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller’s Guide to DB2: Technology Themes for 2014 and BeyondA Time Traveller’s Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller’s Guide to DB2: Technology Themes for 2014 and BeyondSurekha Parekh
 
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
 
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
 
Key Note Session IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...
Key Note Session  IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...Key Note Session  IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...
Key Note Session IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...Surekha Parekh
 
A Time Traveller's Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller's Guide to DB2: Technology Themes for 2014 and BeyondA Time Traveller's Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller's Guide to DB2: Technology Themes for 2014 and BeyondLaura Hood
 
Dimension Data Cloud Business Unit - Solution Offering
Dimension Data Cloud Business Unit - Solution OfferingDimension Data Cloud Business Unit - Solution Offering
Dimension Data Cloud Business Unit - Solution OfferingRifaHaryadi
 
From Single Purpose to Multi Purpose Data Lakes - Broadening End Users
From Single Purpose to Multi Purpose Data Lakes - Broadening End UsersFrom Single Purpose to Multi Purpose Data Lakes - Broadening End Users
From Single Purpose to Multi Purpose Data Lakes - Broadening End UsersDenodo
 
Increase Your Mission Critical Application Performance without Breaking the B...
Increase Your Mission Critical Application Performance without Breaking the B...Increase Your Mission Critical Application Performance without Breaking the B...
Increase Your Mission Critical Application Performance without Breaking the B...DataCore Software
 
Four Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarFour Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarStorage Switzerland
 
Data Virtualization: revolutionizing database cloning
Data Virtualization: revolutionizing database cloningData Virtualization: revolutionizing database cloning
Data Virtualization: revolutionizing database cloningKyle Hailey
 
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
 
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...DataWorks Summit
 
HP & OCSL Webinar StoreOnce 28th Of August 2013
HP & OCSL Webinar  StoreOnce 28th Of August 2013HP & OCSL Webinar  StoreOnce 28th Of August 2013
HP & OCSL Webinar StoreOnce 28th Of August 2013OCSL
 
Focus on business, not backups
Focus on business, not backupsFocus on business, not backups
Focus on business, not backupsDell World
 
Nicholas:hdfs what is new in hadoop 2
Nicholas:hdfs what is new in hadoop 2Nicholas:hdfs what is new in hadoop 2
Nicholas:hdfs what is new in hadoop 2hdhappy001
 
Denver devops : enabling DevOps with data virtualization
Denver devops : enabling DevOps with data virtualizationDenver devops : enabling DevOps with data virtualization
Denver devops : enabling DevOps with data virtualizationKyle Hailey
 
Converged Everything, Converged Infrastructure delivering business value and ...
Converged Everything, Converged Infrastructure delivering business value and ...Converged Everything, Converged Infrastructure delivering business value and ...
Converged Everything, Converged Infrastructure delivering business value and ...NetAppUK
 
Presentazione SimpliVity @ VMUGIT UserCon 2015
Presentazione SimpliVity @ VMUGIT UserCon 2015Presentazione SimpliVity @ VMUGIT UserCon 2015
Presentazione SimpliVity @ VMUGIT UserCon 2015VMUG IT
 
DRBD Deep Dive - Philipp Reisner - LINBIT
DRBD Deep Dive - Philipp Reisner - LINBITDRBD Deep Dive - Philipp Reisner - LINBIT
DRBD Deep Dive - Philipp Reisner - LINBITShapeBlue
 

Similar to Voices presentation (20)

A Time Traveller’s Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller’s Guide to DB2: Technology Themes for 2014 and BeyondA Time Traveller’s Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller’s Guide to DB2: Technology Themes for 2014 and Beyond
 
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
 
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)
 
Key Note Session IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...
Key Note Session  IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...Key Note Session  IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...
Key Note Session IDUG DB2 Seminar, 16th April London - Julian Stuhler .Trito...
 
A Time Traveller's Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller's Guide to DB2: Technology Themes for 2014 and BeyondA Time Traveller's Guide to DB2: Technology Themes for 2014 and Beyond
A Time Traveller's Guide to DB2: Technology Themes for 2014 and Beyond
 
Dimension Data Cloud Business Unit - Solution Offering
Dimension Data Cloud Business Unit - Solution OfferingDimension Data Cloud Business Unit - Solution Offering
Dimension Data Cloud Business Unit - Solution Offering
 
From Single Purpose to Multi Purpose Data Lakes - Broadening End Users
From Single Purpose to Multi Purpose Data Lakes - Broadening End UsersFrom Single Purpose to Multi Purpose Data Lakes - Broadening End Users
From Single Purpose to Multi Purpose Data Lakes - Broadening End Users
 
Increase Your Mission Critical Application Performance without Breaking the B...
Increase Your Mission Critical Application Performance without Breaking the B...Increase Your Mission Critical Application Performance without Breaking the B...
Increase Your Mission Critical Application Performance without Breaking the B...
 
Four Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage WebinarFour Assumptions Killing Backup Storage Webinar
Four Assumptions Killing Backup Storage Webinar
 
Data Virtualization: revolutionizing database cloning
Data Virtualization: revolutionizing database cloningData Virtualization: revolutionizing database cloning
Data Virtualization: revolutionizing database cloning
 
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization
 
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...
 
HP & OCSL Webinar StoreOnce 28th Of August 2013
HP & OCSL Webinar  StoreOnce 28th Of August 2013HP & OCSL Webinar  StoreOnce 28th Of August 2013
HP & OCSL Webinar StoreOnce 28th Of August 2013
 
Disaster recovery. prepare.plan.perform.
Disaster recovery. prepare.plan.perform.Disaster recovery. prepare.plan.perform.
Disaster recovery. prepare.plan.perform.
 
Focus on business, not backups
Focus on business, not backupsFocus on business, not backups
Focus on business, not backups
 
Nicholas:hdfs what is new in hadoop 2
Nicholas:hdfs what is new in hadoop 2Nicholas:hdfs what is new in hadoop 2
Nicholas:hdfs what is new in hadoop 2
 
Denver devops : enabling DevOps with data virtualization
Denver devops : enabling DevOps with data virtualizationDenver devops : enabling DevOps with data virtualization
Denver devops : enabling DevOps with data virtualization
 
Converged Everything, Converged Infrastructure delivering business value and ...
Converged Everything, Converged Infrastructure delivering business value and ...Converged Everything, Converged Infrastructure delivering business value and ...
Converged Everything, Converged Infrastructure delivering business value and ...
 
Presentazione SimpliVity @ VMUGIT UserCon 2015
Presentazione SimpliVity @ VMUGIT UserCon 2015Presentazione SimpliVity @ VMUGIT UserCon 2015
Presentazione SimpliVity @ VMUGIT UserCon 2015
 
DRBD Deep Dive - Philipp Reisner - LINBIT
DRBD Deep Dive - Philipp Reisner - LINBITDRBD Deep Dive - Philipp Reisner - LINBIT
DRBD Deep Dive - Philipp Reisner - LINBIT
 

Recently uploaded

Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 

Recently uploaded (20)

Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 

Voices presentation

  • 1. Think Green Analyzing and Optimizing Power Consumption Dhanashri Phadke Symantec Voices 2014 1
  • 2. Agenda 1 Why the need 2 Tools 3 Analysis 4 Green Technologies 5 Summary Voices 2014 2
  • 3. Why the need More than 5 billion people are calling, texting, tweeting and browsing on mobile phones worldwide. 2.7 Zetabytes of data exist in the digital universe today Almost every way we make electricity today, except for the emerging renewables and nuclear, puts out CO2. And so, what we're going to have to do at a global scale, is create a new system. And so, we need energy miracles. - Bill Gates More than 200bn HD movies – which would take a person 47m years to watch. Walmart handles one million transactions every hour – 2.5 petabytes in db Voices 2014 3
  • 5. Power measurement Going to discuss further : • Joulemeter • JouleX Energy Manager • ipmitools Other available : • PowerTOP – Linux tool Voices 2014 5
  • 6. Joulemeter • Windows Tool • Estimates energy usage of VM , Server , Application • Power management of various components CPU , memory , storage , applications • Computational Energy Measurement Voices 2014 6
  • 7. Joulemeter output for a backup job Voices 2014 7
  • 8. Joulex Energy Manager • Monitor, analyze, and manage energy usage of all network IP connected devices • Web browser based user interface • Agentless • SNMP, Windows Management Instrumentation (WMI), HP integrated Lights-out (iLO), VMI • 1 controller monitors up to 50,000 devices Voices 2014 8
  • 9. Ipmitool • The Intelligent Platform Management Interface (IPMI) is a standardized computer system interface used by system administrators for out-of-band management of computer systems and monitoring of their operation. • IPMI provides monitoring, management voltage, temperature, fans, power supplies, hardware inventory information and etc. • IPMItool provides a simple command-line interface to IPMIenabled devices Voices 2014 9
  • 11. Analysis - Power usage of CPU 25 Watts 20 15 1 backup 5 backups 10 5 0 4 8 12 16 20 25 29 33 38 42 47 52 56 60 64 68 73 77 81 85 89 93 97 101 106 110 114 118 122 127 131 135 139 144 148 0 Seconds Voices 2014 11
  • 13. Deduplication • Data deduplication is a method of reducing storage needs by eliminating redundant data. • Single instance storage • Only one unique instance of the data is actually retained on storage media • Global data deduplication • Inline duplication • Post-processing duplication Voices 2014 13
  • 16. Review First Version Revisions Process 2MB 5.6 MB 3 people 5.6 MB Full backup’s 1 year 5.6 MB With DR 1 site 11.2 MB Voices 2014 16
  • 17. Virtualization • Enables multiple heterogeneous operating systems to run simultaneously on the same physical hardware . • This is advantageous because running a single operating system on a modern high-powered server will almost certainly result in that server being severely underutilized. • In fact, in many businesses, servers are operating at anywhere between 5 and 25 percent of their total load capacity, thus wasting a substantial amount of processing power. Voices 2014 17
  • 18. Virtualization Today Tomorrow Production Environment Challenges • Application and Data Availability • Control Server Sprawl • Optimize Utilization Test/Dev Environment Voices 2014 18
  • 19. Storage Tiering • Assignment of different categories of data to different types of storage media • Deriving value from multiple tiers of storage is to place each file on the appropriate type of storage device based on a number of criteria according to the business needs . • Categories may be based on levels of protection needed, performance requirements, frequency of use, and other considerations Voices 2014 19
  • 20. Storage Tiering Situation Solution Volume Based Tiering Prod DB Scratch Files Prod DB User Files Temp DB Storage Tiering User Files Prod DB ScratchDB Prod Files Backup User Files Aged Files Snapshot Aged Files Prod Files Scratch DB Prod DB User Files Scratch Files Prod DB Temp DB Scratch Files Backup User Files Prod DB User Files Scratch Files Prod DB Aged Files Snapshot Aged Files Prod DB Temp DB Scratch Files Backup User Files Aged Files Snapshot Aged Files Prod DB Tier 1 Storage Tier 2 Storage Dynamic Tiering Tier 1 Storage Tier 2 Storage Aged Files Snapshot Aged Files Scratch Files Tier 3 Storage Voices 2014 20
  • 21. Cloud Computing • Cloud computing is a general term for anything that involves delivering hosted services over the Internet • These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) • Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Voices 2014 21
  • 22. Data Archival • Data archiving is the process of moving data that is no longer actively used to a separate data storage device for long-term retention. • Consists of older data that is still important and necessary for future reference, as well as data that must be retained for regulatory compliance • Data archives are often confused with data backups . • Backup’s are copies of data whereas archives protect older information that is not needed for everyday operations Voices 2014 22
  • 24. Summary • Important to analyze power consumption • Various tools can be used • Green Technology Voices 2014 24 24
  • 25. Thank you ! Dhanashri Phadke dhanashri.phadke@gmail.com Voices 2014 25