Documento11propuesta

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Energy Saving Software based on Cloud Computing for Adjustable Processing Environments (ESSCCAPE ) The Green Cloud

Transcript of Documento11propuesta

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Energy Saving Software based on Cloud Computing for Adjustable Processing Environments(ESSCCAPE)

TheGreen Cloud

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IntroductionWhy Green IT?

• Reduced energy use and therefore reduced energy expenditure.

• Direct measurable cost savings and value delivery.

• Carbon emission reductions.

• Anticipate future green regulations.

• Improved corporate branding/image.

• Competitive differentiator: become preferred Green IT partner.

• Improved management capabilities for data center operation.

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IntroductionWho is thinking in green?

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IntroductionWhy Cloud? From Buzzword to a Real Alternative

• Dynamically adding or removing hardware resources could help to stop the energy misuse.

• A generic approach is needed to control server hardware usage among different tasks.

• A scalable approach is needed: not only increasing the number of nodes, but also resizing the virtualized hardware resources and/or outsourcing the computational needs (i.e. Amazon EC2).

• Security: virtualization isolates data and computing resources from potential attacks.

• Incremental Scalability. • Agility/Flexibility. • Service-oriented.• Public clouds: pay-per-use model.

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What do the following companies all have

in common: Amazon, Microsoft, Google,

EMC, VMware, IBM, Sun, Dell, Akamai,

SalesForce.com, NetSuite, and Activision.

Answer: Cloud Computing. Merrill Lynch

analysts reckon that by 2011 the volume of

cloud computing market opportunity will

amount to $160BN, including $95BN in

business and productivity apps (e-mail,

office, CRM, etc.) and $65BN in online

advertising.” Merrill Lynch.

IntroductionSome Cloud Platforms, Providers and Enablers

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• Nowadays, Green IT is a hot topic for the industry. • The problem is that...

– Data Centers are scaled in order to cope with computational peak workloads.

– Data Centers are overdimensioned. – Server processors are idle most of the time.

• Data Center energy saving is a huge opportunity for companies and there are a great amount of initiatives to maximize the energy efficiency, thus reducing operational and infrastructure costs.

• To achieve the goal of Energy Efficiency we need: – A well-dimensioned Data Center which uses the

resources/components only when needed. The peak workloads are covered by outsorcing the computational needs.

Project OverviewOur point of view

It is not a green

approach ...

... A green

approach is...

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The Green Cloud

• Virtualization technologies and Cloud computing play a key role in this context.

• Our proposal aims at:– developing an integrated solution to monitor and

control the energy consumption of all the Cloud Nodes.

– taking advantage of all the available information: energy consumption ratings of all the components, current wokload in each Cloud Node, data rates, computational resources location, etc.

– dynamically adapting the active hardware to the needs in terms of computing and communication resources which are required by the running services.

Project OverviewOur point of view

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• In four steps:

1. obtaining information about the Cloud Nodes: components, workloads, computing resources locations, etc.

2. generating policies to improve the energy consumption, using all the available information.

3. applying this policies in the Cloud Nodes.

4. determining whether the components of the Cloud fit the needs for the future workload or an increase / reduction of hardware is advisable.

• Green Scope:

– Generic issues not aiming at reducing the energy waste which are common to Cloud Computing infrastructures are not the focus of this proposal

Project OverviewOur point of view

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• Our solution covers the green area. Nevertheless, a cloud is a cloud (i.e. for Amazon its cloud is a private one) so this approach is applicable to both sides (with some special features).

• The Company Staff’s machines are part of the problem and part of the solution too.

Project OverviewPublic or Private? Both

Private Cloud (DataCenter)

Public Cloud, i.e.

company staff’s

machines

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Resources Layer...

Project OverviewArchitecture. Our point of view

ESS = Energy Saving System

NCD = Network Card Driver

HM = Hardware Manager

PM = Processes Manager

PA = Power Analizer (optional)

NIACHM NIAC NIAC

MeasurementsDataBase

PM

HM

PM HM PMPA

Service ServiceServiceService ServiceService

Layer

Control LayerExecution

DataBase

Third Parties like

Amazon EC2

DeploymentManager

LearningManager

LearntPolicies

NCD NCD NCD

SNMP Agent SNMP Agent SNMP Agent

ESSESS ESS

Processor Layer

ProcessorAllocation Manager

Cloud Controller

LearntPolicies

V.M. V.M. V.M.V.M. V.M.

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• Oscar Trenado MuñozInnovation ManagerTlf: +34 983 54 99 11

+34 606 10 73 50email: [email protected]

• Miguel Ángel Peñalvo BediaInnovation ConsultantTlf: +34 983 54 99 11e-mail: [email protected]

Contact us!

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Energy Saving Software based on Cloud Computing for Adjustable Processing Environments(ESSCCAPE)

TheGreen Cloud