Enhancing Energy Efficiency in Cloud Management through Code Annotations and the Green Abstraction...

Enhancing Energy-Efficient Cloud

Management..through Code Annotations and the Green

Abstraction Layer

RAFFAELE BOLLA MATTEO REPETTO LUIGI SAMBOLINO DANILO TIGANO

UCC 2015 – 7° DECEMBER 2015 – LIMASSOL, CYPRUS

Outline

1. Motivation

2. Arcadia’s Vision

3. Our approach

4. Ongoing work

5. Conclusions

Power usage effectiveness

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https://gigaom.com/2012/03/26/whose-data-centers-are-more-efficient-facebooks-or-googles/

Author

Power usage effectiveness (PUE) is a measure of how efficiently a computer data center uses energy; specifically, how much energy is used by the computing equipment (in contrast to cooling and other overhead).PUE is the ratio of total amount of energy used by a computer data center facility to the energy delivered to computing equipment.PUE was developed by a consortium called The Green Grid. PUE is the inverse of data center infrastructure efficiency (DCIE). An ideal PUE is 1.0. Anything that isn't considered a computing device in a data center (i.e. lighting, cooling, etc.) falls into the category of facility energy consumption. \mathrm{PUE} = {\mbox{Total Facility Energy} \over \mbox{IT Equipment Energy}}

The consolidation problem

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ChallengesVMs impredictabilityWorkload variability

SolutionsScale frequenciesScale powered componentsReallocation of VMs

Author

Each Virtual Machine represent a Service

Reallocation TimeDowntimeSLAQoSQoE

SolutionExploit applications behavior knowledge in data centers

Efficiency Trade-Off

Author

DevOps philosophy

• Communication• Collaboration• Process

automation• Infrastructure

changes

Author

DevOps philosophy tries to set a tighter collaboration between software developers and operation staff. Developers are asked to include information to let the applications be aware of their context, or automatic configuration.

European Project

Helping services placement in the cloud

For Developers, DevOps and Providers

ARCADIA Conceptual Architecture

Author

Meta Model dovrebbe essere la struttura delle applicazioni, fatta di di "contenitori" base e "incastri" per poter creare delle cateneThe meta-model template is a collection of properties, relationships, attributes, and policies related to the specific app or service chain. It's written by Developer directly as source-code level and assisted and validated by Arcadia IDE-Plugin. More details are going to be given in next slide talking about TOSCA.

Author

Il Context Model e` quello che dovrebbe sviluppare ARCADIA, ovvero una astrazione del contesto di esecuzione: CPU, memoria, storage, network, energy efficiency, QoS, Sistemi Operativi, dipendenze software ed hardware, attuale carico di lavoro, parametri da monitorare, e non so quanto altro possa essere utile specificare per la corretta esecuzione dell'applicazione.

Our idea

1. Meta-models exploitation

2. Policies

3. Unused replicas clustering

4. Sleeping Nodes

Smart Controller

Labelled Grouping

Light

Dynamic

Critical

Ongoing Work

1. Monitoring

2. Profiling

3. Consolidation Algorithms

Placement AlgorithmPower consumption minimization

Sets of elements considered: Physical Machines Virtual Machines Network Machines Set of cooling machines Links Traffic demand

Algorithm Constraints

1. Maximum number of re-allocations

2. Link capacity depends on interfaces power states

3. Maximum number of hops between VMs

TestBed

The Green Abstraction Layer1. ETSI standard interface (ES 203 237)

2. Developed by ECONET Consortium

3. Power management in networking devices

4. GALv2

5. Basic Primitives

6. Interaction between heterogeneous HW

7. Power States

GAL Commands

Discovery Provisioning Release Monitoring Commit Rollback

Questions?

Thank you

Enhancing Energy Efficiency in Cloud Management through Code Annotations and the Green Abstraction...

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