Co-fundedbytheEuropeanCommissionHorizon2020-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.

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

Activities

Trustworthiness Assessment & Monitoring Framework

Cloud services managing federated and hybrid resources

Distributed Trustworthy Data Management Services

Trustworthy Data Processing Services

Pilot & Use Cases

Comm

unity Engagement, Com

munication &

Impact

Expl

oita

tion

and

Sus

tain

abili

ty

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.

Develop a federation model for LxD containers providing an AAI based on existing IdPs, a synchronized repository of

microimages, a CLI and a service specification for managing the whole platform.

Execution of applications through a function-oriented Dashboard.

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 containerplatform

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 TrustworthyData Management Services

Datasources

DTDMS

Sensitive Data

OriginalData

DerivedData

AnonymizedDataPS

FTAssurance

Forgotten PSFTdata

ExternalSystems

generates

maintains

removes

A layer of data analytic techniques implemented as a set of building blocks, as well as a framework for the development of applications from the building blocks on top of the Data Management Platform.

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

The use case of the project focuses on telemedicine based on the processing of echocardio images

Depending on the features of the images and the processing services, different risks can be assumed.

Processing services that could lead to the identification of personal data must comply a higher level of protection.

Application will serve to measure trustworthiness a priori and dynamically in a broader sense, which will enable creating self-adaptive applications and tracing the compliance of regulations such as the EU-GDPR.

Applications that cannot reach a defined level of certification can be still trustful for specific operations with lower risks, such as pure anonymised data, best effort computations and long-term research.

Use Case

ATMOSPHERE will provideA definition of Trustworthiness Metrics.

A platform to measure such metrics.

A hybrid and federated container-based infrastructure.

Performance modelling services for the applications.

Trustworthy Data Management and Processing services.

A use case on telemedicine.

Expected Outputs & Exploitation plan

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Improving Trustworthiness of Data Analytics

ContactIgnacio Blanquer – iblanque@dsic.upv.es - (Universitat Politècnica de València)Francisco Brasileiro – fubica@computacao.ufcg.edu.br -(Universidade Federal de Campina Grande)

a tmosphe r e - e ub r a z i l . e u