eubrabigsea major goals

Major Goals Ignacio BlanquerUniversitat Politècnica de ValènciaEuropean Coordinator

Wagner Meira Jr.Universidade Federal de Minas Gerais

Brazilian Coordinator

Directorate General for Communications Networks, Content and TechnologySoftware and Services, Cloud

@BIGSEA_EUBR www.eubra-bigsea.eu

…. to create a sustainable international (European and Brazilian) cooperation activity in the area of cloud services for

Big Data analytics

Which aims at: …developing a framework for ensuring the QoS of data

analytics services on top of cloud computing infrastructures ensuring security and privacy

EUBra-BIGSEA What do we want to do?

EUBra-BIGSEA H2020-690116

Capitalising on Past Investments

• Captialising on a rich background & past investments

― Advanced cloud services successfully used in projects such EUBrazilCC, INDIGO Datacloud, EGI, DICE, MODAClouds, etc.

― BigData analytics framework in production for climate analysis user community.

― Cloud-enabled and Big-Data oriented programming models for rapid development.

― Production-level use case.― Experiences on security and privacy for

BigData.


EU-BR an evolving community in ICT


EU-Brazil OpenBio Joint Action Plan Sept 2013

White Paper Shaping EU Brazil ICT Future Priorities Oct 2014

20th October 2014 Rio de Janeiro, RJ, Brazil 1st – 2nd December 2015 Rio de Janeiro, RJ, Brazil

Growing momentum on which to capitalise

DB made up of diverse communities covering Cloud Computing and Scientific Applications

EUBra-BIGSEA ConsortiumProven track record of cooperation with Brazil

UPV, ES

BSC, ES

Trust-IT, UK

CMCC, IT

UFMG, MG

POLIMI, IT

UC, PT

UTFPR, PR

UFCG, PB

IBM, SP/RJ

UNICAMP, SP

Skills in: Cloud Computing Computing Infrastructures

Cloud & Data Standards Data AnalyticsQuality of Service

Big Data applications


EUBra-BIGSEA Objectives

• Objectives:― The development of advanced cloud services to support Big

Data.― The development of innovative Big Data services for capturing,

federating and annotating large volumes of data.― The use of innovative and efficient technologies for

guaranteeing the fulfilment of the security and privacy policies.― The transfer of this technology to a real user scenario with high

social and business impact, and of high interest for both EU and BR.

― The dissemination and subsequent uptake of the results and identification of business opportunities.


EUBra-BIGSEA Impact


BIGSEA Ambitious Workplan

• BIGSEA is structured along 7 (+ Project coordination) activities defined as WPs.

• User Scenario will make use of the Data Analytics API provided by the Programming model interface.

• The Programming mode interface will define the services using TOSCA standard

― Service specifications will be instantiated on a cloud IaaS, automatically managing Quality of Service.

― The BigData Analytics services will run on the cloud infrastructure.

• A security framework will be defined to provide security and privacy.

• Globally, dissemination and exploitation activities will pursue the outreach and transfer of technology.

QoS IaaS

Big Data

Analytics

Program.

model interfa

ce

Security

User Scenar

io

Dissemin. &

Outreach

Innovation

Manag.

Access tokens

Assurance BigD

ata Priva

cyAssurance

Access tokens

TOSCA specs

TOSCA specs

Data Analytics API


International Synergies

• QoS IaaS infrastructure with proactive policies for Vertical and Horizontal elasticity

― Exploiting expertise of UFCG and UFMG in the policies with the cloud brokering service from UPV.

― Joint work on the extension of TOSCA standard for Data elasticity, leveraging POLIMI positioning in the committees.

• Exposing these features on a cloud-friendly Programming Framework― COMPSs from BSC and OPHIDIA from CMCC will be enriched with QoS capabilities.― UFMG and UTFPR will develop a use case on top of it.

• Efficient Security and Privacy capabilities in BigData will be incorporated to the infrastructure and programming models

― UNICAMP and UC will cooperate on the development of such services.

• International-level business analysis ― By means of TRUST-IT and IBM.


Practical Contributions• A BigData Analytics platform

― A QoS layer for IaaS, agnostic to the cloud provider (including containers), with automatic horizontal and vertical elasticity

― Customized for BigData applications― A privacy and security framework suitable for performing efficiently on Big

Data applications.― A programming model bridging to data analytics and QoS functionality,

independent of the IaaS provider.

• A real use case implemented on top of the platform for the analysis of data from massively connected societies.

• Transfer of the technology to external projects, institutions or entities.

― The technology will be released under Open-Source licenses.― An international research community on Clouds and Big Data.


Contacts

IGNACIO BLANQUER EU Coordinator Universitat Politècnica de València

I3M – CPI [email protected]

WAGNER MEIRA JR. BR Coordinator

Universidade Federal de Minas Gerais

Computer Science Dept.

[email protected]


@BIGSEA_EUBR www.eubra-bigsea.eu

mailto:[email protected]

mailto:[email protected]