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Co-funded by the European Commission Horizon 2020 -
Grant #777154
Objectives of the Project
atmosphere-eubrazil.eu @AtmosphereEUBR
ATMOSPHERE is a 24-month project aiming
at the design and development of a framework
and a platform to implement trustworthy cloud
services on top of an intercontinental hybrid
and federated resource pool.
A project of the 4th Coordinated Call between Brazil
and European Union.
Considering a broad spectrum of
trustworthiness properties and their measures.
Supporting the development, build,
deployment, measurement and evolution of
trustworthy cloud resources, data management
services and data processing services,
Demonstrated on a sensitive scenario of
distributed telemedicine.
ATMOSPHERE Goals & Partners
Trustworthiness is considered in its multiple
dimensions
Security, Privacy, Coherence, Isolation, Stability,
Fairness, Transparency and Dependability.
Trustworthiness metrics define the
properties that can be evaluated in each one
of these dimensions
A priori and a posteriori evaluation of vulnerability,
performance, integrity, robustness, scalability, resource
consumption, fairness, isolation, etc.
Enabling creating self-adaptive applications
Tracing the degree of compliance of regulations such
as the EU-GDPR
Privacy protection, traceability, confidentiality warning,
etc.
Trustworthiness life-cycle
A hybrid and federated platform to evaluate trustworthiness
Considering both Virtual Machines and LxD containers as first class hypervisors and supporting GPGPUs and
clusters with heterogeneous hardware.
Federated Network management
beyond the boundaries of the sites,
Providing Network as a Service NFV and facing
issues such as the scarce of public IPs.
ATMOSPHERE will offer a multi-site network
federation mechanism to enable the migration
of configured resources without needing to
change IP configuration and securely isolating
multi-tenant federated networks.
Considering containers as first-class
resources for network federation.
Hybrid federated container
platform
ATMOSPHERE not only measures trustworthiness but provides a set of
services to improve it.
A Distributed Data Management Platform will be developed such services as
storage, retrieval, update and access of data in a cloud, guaranteeing
features such as confidentiality and revocation and access authorization.
Policy engines for Secure Data Management.
Based on enclaves and focusing
on SQL and NoSQL Databases.
Supporting Spark.
Privacy preservation and
annotation.
Distributed Trustworthy Data
Management Services
Data
sources
DTDMS
Sensitive Data
Original
Data
Derived
Data
Anonymized
Data
PSFTAssurance
Forgotten PSFT data
External
Systems
generates
maintains
removes
A layer of data analytic techniques implemented as a set of Spark building
blocks, as well as a framework for the development of applications from the
building blocks on top of the Data Management Platform: LEMONADE.
Trustworthy evaluation in design and
runtime
Evaluation of privacy risks, estimation of
execution deadlines for a given resource
allocation.
Detailed monitoring for the evaluation of
performance, fairness, robustness and
scalability with adaptive measures.
Workflow orchestration.
Trustworthy Data Processing
Services
Dont miss a beat!
http://www.atmosphere-eubrazil.eu/
@AtmosphereEUBR
linkedin.com/in/atmosphere/
Check our landing page
(full website to be launched January 2018)
Connect on LinkedIn
Follow on Twitter
REGISTER FOR THE
NEWSLETTER
www.atmosphere-
eubrazil.eu/user/register
Contact
Ignacio Blanquer
(Universitat Politècnica deValència)
iblanque@dsic.upv.es
Francisco Brasileiro
(Universidade Federal de Campina Grande)
fubica@computacao.ufcg.edu.br

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EOSC-hub Week - Cloud Lightning Talks: Atmosphere

  • 1. Co-funded by the European Commission Horizon 2020 - Grant #777154 Objectives of the Project atmosphere-eubrazil.eu @AtmosphereEUBR
  • 2. ATMOSPHERE is a 24-month project aiming at the design and development of a framework and a platform to implement trustworthy cloud services on top of an intercontinental hybrid and federated resource pool. A project of the 4th Coordinated Call between Brazil and European Union. Considering a broad spectrum of trustworthiness properties and their measures. Supporting the development, build, deployment, measurement and evolution of trustworthy cloud resources, data management services and data processing services, Demonstrated on a sensitive scenario of distributed telemedicine. ATMOSPHERE Goals & Partners
  • 3. Trustworthiness is considered in its multiple dimensions Security, Privacy, Coherence, Isolation, Stability, Fairness, Transparency and Dependability. Trustworthiness metrics define the properties that can be evaluated in each one of these dimensions A priori and a posteriori evaluation of vulnerability, performance, integrity, robustness, scalability, resource consumption, fairness, isolation, etc. Enabling creating self-adaptive applications Tracing the degree of compliance of regulations such as the EU-GDPR Privacy protection, traceability, confidentiality warning, etc. Trustworthiness life-cycle
  • 4. A hybrid and federated platform to evaluate trustworthiness Considering both Virtual Machines and LxD containers as first class hypervisors and supporting GPGPUs and clusters with heterogeneous hardware. Federated Network management beyond the boundaries of the sites, Providing Network as a Service NFV and facing issues such as the scarce of public IPs. ATMOSPHERE will offer a multi-site network federation mechanism to enable the migration of configured resources without needing to change IP configuration and securely isolating multi-tenant federated networks. Considering containers as first-class resources for network federation. Hybrid federated container platform
  • 5. ATMOSPHERE not only measures trustworthiness but provides a set of services to improve it. A Distributed Data Management Platform will be developed such services as storage, retrieval, update and access of data in a cloud, guaranteeing features such as confidentiality and revocation and access authorization. Policy engines for Secure Data Management. Based on enclaves and focusing on SQL and NoSQL Databases. Supporting Spark. Privacy preservation and annotation. Distributed Trustworthy Data Management Services Data sources DTDMS Sensitive Data Original Data Derived Data Anonymized Data PSFTAssurance Forgotten PSFT data External Systems generates maintains removes
  • 6. A layer of data analytic techniques implemented as a set of Spark building blocks, as well as a framework for the development of applications from the building blocks on top of the Data Management Platform: LEMONADE. Trustworthy evaluation in design and runtime Evaluation of privacy risks, estimation of execution deadlines for a given resource allocation. Detailed monitoring for the evaluation of performance, fairness, robustness and scalability with adaptive measures. Workflow orchestration. Trustworthy Data Processing Services
  • 7. Dont miss a beat! http://www.atmosphere-eubrazil.eu/ @AtmosphereEUBR linkedin.com/in/atmosphere/ Check our landing page (full website to be launched January 2018) Connect on LinkedIn Follow on Twitter REGISTER FOR THE NEWSLETTER www.atmosphere- eubrazil.eu/user/register Contact Ignacio Blanquer (Universitat Politècnica deValència) iblanque@dsic.upv.es Francisco Brasileiro (Universidade Federal de Campina Grande) fubica@computacao.ufcg.edu.br

Editor's Notes

  1. Hi I’m Miguel Caballer and I want to present the recenlty started ATMOSPHERE project in name of Ignacio Blanquer that cannot attend this meeting because he is in the review of the previous Europe-Brasil projec called EuBraBigSea.
  2. General Data Protecction Regulation: a partir del 28 de Mayo
  3. Almacemanieinto de datos de tipo (enclaves) SGX A nivel de BD se pueda quitar acceso a ciertos campos según el tipo de privadidad de dicho campo En tiempo real se puedan cambiar esos permisos por razones de riesgo. PSFT: Privacy, Security, Fairness, and Transparency
  4. In each module you can define the Trustworthiness properties in terms of security, response time, etc.