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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 – [email protected] - (Universitat Politècnica de València)Francisco Brasileiro – [email protected] -(Universidade Federal de Campina Grande)
a tmosphe r e - e ub r a z i l . e u