Energy-awareness and Big Data Management in Information Systems

@EnBIS2016

Monica VitaliPolitecnico di Milano

Marina ZapaterUniversidad Complutense de Madrid

Motivation

Towards cloud services: increment in the size and kind of information to be stored, processed, and analysed

Question: Is it sustainable?

Focus: Energy-awareness of cloud-based business activities, from the application to the resource management

Challenges: Internet of Things and Big Data

2

Towards a Distributed based Environment

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Towards a Distributed based Environment

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Towards a Distributed based Environment

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+

Towards a Distributed based Environment

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+

=

Data Center energy consumption trends

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500.000 DCs in the world

Total Energy > 200 000 000 000 € / year

Data Center energy consumption trends

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1.3% Worldwide energy production in 2010

1 Data Center =

2012: Data Center power demand grew 63% to 38GW2013: Further rise of 17% to 43GW

Responsible for 2% CO2 emissions

Jonathan Koomey, 2011. Growth in Data Center electricity use 2005 to 2010

Sustainability and CO2

ICT Power Consumption Distribution

9Greenpeace report “Clicking Green: A Guide to Building the Green Internet”, 2015

Measuring Data Centers - Energy Awareness

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Sustainability and CO2FACEBOOK

11https://sustainability.fb.com/en/our-footprint/

Sustainability and CO2GOOGLE

12https://www.google.si/green/

Green IT Taxonomy

13M. Vitali and B. Pernici, “A Survey on Energy Efficiency in Information Systems,” IJCIS 2014

Green IT ApproachesSeveral layers, complementary approaches

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Chip Server Rack Room Data Center Federated DCs IoT

Application

Scheduling &Allocation

OS

Compiler/VM

Architecture

Technology

SoA started by covering largest chunk of power consumption

Green IT ApproachesSeveral layers, complementary approaches

● Savings by applying only best practices● Impact of savings increases with level of abstraction

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Traditional power breakdown in DCs● Traditionally, cooling costs have been an important part of overall energy

16IT

ManagementCooling

Management

Traditional cooling techniques● Raised-floor air-cooled DCs● Both industry and academic devoted efforts to reduce DC cooling costs

○ Google reports PUE of 1.11 and 1.12 → Data Centers in very cold areas● When power density increases, this techniques cannot be used anymore

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Enabling high-density computation● In order to achieve exascale

computing, we need higherpower densities

○ More efficient cooling○ But also more efficient servers

18kw/Rack

Trad

ition

al H

VA

C

refri

gera

tion

Hot/cold aisle contain-ment

Component-based(liquid cooling)

Close-coupled chilled water cooling(in-row or in-rack)

Higher rack density

Warmer water temperature

Green IT ApproachesSeveral layers, complementary approaches

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Chip Server Rack Room Data Center Federated DCs IoT

Scheduling &Allocation

Application

OS

Compiler/VM

Architecture

Technology

Goal: Holistic approach to energy efficiency and GreenIT(i.e: “Filling all the cells in the table”)

Chip-level techniques: 3D architectures

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Chip Server Rack Room Data Center Federated DCs IoT

Scheduling &Allocation

Application

OS

Compiler/VM

Architecture

Technology

New transistor technologies: FD-SoI● Dramatically impacts the trade-offs at upper abstraction layers

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Chip Server Rack Room Data Center Federated DCs IoT

Scheduling &Allocation

Application

OS

Compiler/VM

Architecture

Technology

Heterogeneity: putting it all together● Move towards heterogeneous chips, servers, rooms, data centers

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Chip Server Rack Room Data Center Federated DCs IoT

Scheduling &Allocation

Application

OS

Compiler/VM

Architecture

Technology

FDSoIConventional CMOS

Heterogeneous Servers, Racks...:

2D, 2.5D, 3D Chips...

Adaptive green techniques: application layer

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Adaptive green techniques: application layer

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EnBIS 2016

GOAL Look at Green IT from a new perspective

Face new challenges and new opportunities of Green IT

Promote cooperation between research groups towards an holistic approach

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EnBIS 2016 Papers Selection

6 Full Paper submitted

3 Papers Accepted for presentation

50% Acceptance Rate

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EnBIS 2016 Schedule

SESSION 1 (9:00 - 10:30)Opening Presentation. Sustainable Data Centers (1 presentation)

SESSION 2 (11:00 - 12:30)Panel Discussion: Enhancing multi-disciplinary collaboration between research groups

SESSION 3 (14:00 - 15:30)Smart Buildings (2 presentations)

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Energy-awareness and Big Data Management in Information Systems

@EnBIS2016

Monica VitaliPolitecnico di Milano

Marina ZapaterUniversidad Complutense de Madrid