INPUT

Pursuing energy-efficiency in ICT through virtualization:

the INPUT Project Prof. Raffaele Bolla

CNIT – University of Genoa raffaele.bolla@unige.it

Third  ETSI  Workshop  on  ICT  Energy  Efficiency  and  Environmental  Sustainability  3-­‐5  JUNE  2015  

SOPHIA  ANTIPOLIS,  FRANCE  

Outline § Input Project

ü Basic data ü Objectives ü Architecture

§ Input potential impact on energy consumption the Set-Top Box example

§ The relevance of the interfaces

§ A proposal: Green Abstraction Layer v2.0

INPUT at a Glance

§ Title: In-Network Programmability for next-generation personal cloUd service supporT

§ Project duration ü January 2015 – December 2017 (36 months)

§ Consortium ü 9 partners from 5 countries

§ Project budget ü 3.1 M€ (100% EU funded)

§ Resources ü 511 PM (~15 full time persons over three years)

§ Web-site and contacts ü http://www.input-project.eu ü roberto.bruschi@cnit.it (coordinator), raffaele.bolla@unige.it,

franco.davoli@unige.it.

The INPUT Consortium

N.   Partner  Name   NaOon  

1   CNIT  ü  Genoa  Research  Unit  ü  Catania  Research  Unit  (including  Reggio  Calabria  

and  Cagliari)  

2   Ericsson  Telecomunicazioni  S.p.A.  

3   UBITECH  

4   Dublin  City  University  

5   HOP  Ubiquitous  S.L.  

6   Infocom  S.r.l.  

7   COSMOTE  

8   Telecom  Italia  S.p.A.  

9   Julius-­‐Maximilians-­‐Universitaet  Wuerzburg  

Objectives

§  Designing a novel infrastructure and paradigm to support Future Internet personal cloud services in a scalable and sustainable way and with innovative added-value capabilities.

§  Enabling next-generation cloud applications to go beyond classical service models, and even by replacing physical Smart Devices, usually placed in users’ homes (e.g., set-top-boxes, etc.) or deployed around for monitoring purposes (e.g., sensors), with their virtual images, providing them to users “as a Service.”

§  Virtual and physical Smart Devices will be made available to users at any time and at any place by means of virtual cloud-powered Personal Networks, which will constitute an underlying service model.

§  These Personal Networks will provide users the perception to be always in their home LAN with their own smart digital (virtual and physical) devices.

§  Fostering future-proof Internet infrastructures that will be “smarter,” fully virtualized, power vs. performance optimized, and vertically integrated with cloud computing, with a clear impact on OPEX and CAPEX of Telecoms, of Service Providers, and of end-users.

Main Approach

§  The INPUT project will overcome current limitations in the cloud service design due to the underlying obsolete network paradigms and technologies, by: ü using the computing and storage capabilities of network

appliances to allow users create private clouds “in the network”;

ü exploiting the energy consumed in network appliances more efficiently than in traditional cloud computing scenarios;

ü moving cloud services much closer to end-users and smart-devices, thus avoiding useless network infrastructure overloading.

§  Extending the programmability of network devices to make them able to host cloud service applications, which will cooperate with the ones in users’ terminals and datacenters to realize the aforementioned cloud services.

Main Approach

Personal  Network  

Virtual  Smart  Devices  

ü  Personal  Networks  provide  users  with  the  percep[on  of  always  being  in  their  home  Local  Area  Network  with  their  own  (virtual  and  physical)  SDs,  independently  of  their  loca[on.  

ü  Personal  Network  service  roughly  corresponds  to  the  Telco-­‐based  virtualiza[on  of  HomeGateways.  

Reference Architecture

End-­‐user  

Data  Center  

Service_Apps  

DC_Apps  

Edge  Network  Device  

Personal  Network  

Virtual  Smart  Devices  

Home  Network  

User_Apps  NBI  

Network  and  Service  Mgmt  SBI  (SDN/NFV)  In-­‐Network  

Programmability  

An estimation of the INPUT impact on energy consumption: the example of set-top boxes

§ We have considered the potential effects of three different actions that are exploited in the Input scenario for what concern the Set-Top Box (STB) consumption: ü Virtualization: moving objects from user’s home

to servers in Telco networks/datacenters ü (Power Management) Dynamic Adaptation:

dynamic variation of energy consumption for servers, from a minimum to a maximum value

ü (Power Management) Consolidation: Some servers can be set in stand-by and the total load can be concentrated in a minor number of servers

BAU scenario Device   τ [y]   ECF  

[kgCO2  eq]   Wh/y  [kWh]  (3)     OCF1y  [kgCO2  eq]   Ownership  [n]  

TCF1y  [MtCO2  eq]  

Set-­‐Top-­‐Box   3.90    (1)   25.00    (2)   107.89  (1)   52.85     0.52    (3)   3.27  

(1)  h^p://www.energyra[ng.gov.au/wp-­‐content/uploads/Energy_Ra[ng_Documents/Library/Standby_Power/Standby_Power/E3-­‐2010-­‐Intrusive-­‐Survey-­‐FINAL-­‐Report.pdf  (2)  h^p://onlinelibrary.wiley.com/doi/10.1111/jiec.12145/epdf  (3)  h^p://remodece.isr.uc.pt/downloads/REMODECE_PublishableReport_Nov2008_FINAL.pdf  

INPUT Scenario Server     τ  [y]   ECFS  [kgCO2  eq]   Power  [W]   Wh/y  [kWh]     OCF1y  [kgCO2  eq]   TCF1y  [kgCO2  eq]  

Mid-­‐range   5   360  (1)   607  (2)   13525.67  (2)   8115.40   8187.40  

(1)  h^p://pubs.acs.org/doi/ipdf/10.1021/es303012r  (2)  h^p://www.sciencedirect.com/science/ar[cle/pii/S0140366414000619  

TCF1YS = NS ∗

ECFS

τ S +OCFV =NHH ∗OWN

nSTB

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%%∗ECFS

τ S +OCFV

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!! =!!!×!"#

!!"# !

•  ConsolidaOon  effect  (from  NS  to  M  ac[ve  servers)    

•  Dynamic  AdaptaOon  effect    

•  VirtualizaOon  

Comparison

-­‐100

-­‐80

-­‐60

-­‐40

-­‐20

0

20

40

60

80

100

25 75 125 175 225 275 325 375 425 475 525 575 625 675 725 775

Carbon

 Foo

tprin

t  Saving  [%

]

nSTB [#]

V V  +  DA V  +  DA  +  C

INPUT  –  Virtualiza[on  +  Dynamic  Adapta[on  +  Consolida[on  

ρ   Ns   M   TCF1y  [MtCO2  eq]   TCF  Saving  [%]  

4/24   343200   113256  (33%  N)   0.59   82.4  

BAU  38  kg  CO2  eq  

INPUT  7  kg  CO2  eq  

V:  virtualiza[on  effect  DA:  Dynamic  Adapta[on  effect  C:  Consolida[on  effect    nSTB=  number  of  STBs  on  a  single  server  

Working Layers & Interfaces

Service_Apps,  SLAs,  user  accoun[ng,  data,  etc.  Northbound    Interfaces  

                 

Personal  Network  Provider  

Southbound    Interfaces  

Cloud  Service  Providers  

ConsolidaOon  

OrchestraOon  Monitoring  

Flexible  Network  PrimiOves   «in  Network»  Programmable  Resources  

Network  and  Service  

Management  

Config  of  Network  Services  Management  of  Service_App  

Measures  o

n  Users’  Q

oE  

and  on

 network/Ap

ps  QoS  

Personal  Network  

Cloud  Service  Providers  Cloud  Service  Providers  

Personal  Cloud  and  Network  Services  

Infrastructure/Plaform  Provider  

Add/remove  service,  configure  components,  etc.  

GAL  

Green Abstraction Layer §  The GAL is a hierarchical

interface to control and to orchestrate power management primitives in a network device in a scalable and flexible way.

§  The GAL layers allow to divide and conquer the complex process of optimizing the mapping between power management primitives (acting at the HW level) and the network logical/virtual/ functional configuration.

§  The GAL has been approved on March 2014 as ETSI Standard 203 237.

The definition of interfaces is crucial in this scenario. We strongly advocate to extend the current standard interface (GAL) to support the dynamical “energy consumption” management of virtual functions/objects (i.e., NFV), as well: GREEN ABSTRACTION LAYER v2.0

Thank you for your kind attention Any Questions?