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Development and Implementation of the Integrated Optique Platform

This work package focuses on defining and implementing the conceptual and technical architecture of the Integrated Optique Platform. Objectives include ensuring the platform's stability and scalability through thorough testing and evaluation. Key tasks involve the integration of various software components developed in related technical work packages and establishing standards for communication between components. By leveraging a semantic data cloud framework, the platform aims to provide efficient data management, analytics, and distributed query execution across heterogeneous data sources.

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Development and Implementation of the Integrated Optique Platform

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  1. Workpackage 2: Implementation Infrastructure

  2. WP2: Objectives Defineconceptualandtechnicalarchitecture, components, interfaces, andstandards. Assertthestabilityandscalabilityoftheplatformthroughtestingandevaluation. Main ObjectiveofWP2: Integrated OptiquePlatform ImplementandmaintainthegenericOptiquesoftwareplatform. Integratethesoftwarecomponentsdeveloped in thetechnicalworkpackes.

  3. WP2: Implementation Infrastructure WP3: Query Formulation WP4: Ontology&Mapping WP5: Time&Streams WP6: Query Transform. WP7: Distr. Query Exec. Integration Integrated OptiquePlatform Requirements WP10: Dissemination WP1: Requirements & Evaluation WP11: Exploitation Basis for Deployment& Evaluation WP8: Use Case WP9: Use Case

  4. The Optique Vision

  5. Basis platform for WP2: fluidOps Semantic Data Cloud PlatformManaging the IT stack using Semantic Technologies Provisioning, Monitoring and Management Application Layer (SaaS) Virtualization Layer Infrastructure Layer (IaaS) Data Layer (DaaS) Netw.-Att. Storage Network Computing Resources Enterprise Data Sources Open Data Sources

  6. PlatformBased on the Information Workbench ExternalApplications + Presentation Layer Exsistingwidgets + customwidgets forspecifictasks Query Result Processing andPresentation Query Formulation (WP3) Ontology & Mapping Management (WP4) Search & Information Access Query Catalog Administration Data CatalogAdministration Data Management& Query Answering Layer Builds upon existing, standards-baseddatamgmt. facilities Query Transformation, Planning & Execution • Existingdatamanagementfacilities • Storage • Retrieval • Search Query Transformation (WP6) Time & Streams (WP5) Distributed Query Execution (WP7) Metadata Data Sources & Infrastructure Re-useexistinginfrastructurewherepossible Streaming Data SQL Data Sources EPDS WP4: Ontology Core DB Turbine data, ... WP4: Mappings Geo Chem Query Catalogs Data Catalogs

  7. Deliverables in First Year WP3: Query Formulation WP4: Ontology&Mapping (Task 4.4) WP5: Time&Streams WP6: Query Transform. (Task 6.4) WP7: Distr. Query Exec. (Task 7.4) Integration ofpre-existingtechnology D2.1 SpecificationoftheArchitecture D2.3 First Prototype ofthe Core Platform Dev. & testinginfrastructureready, startintegratingcomponents Start initialperformanceintegrationtesting Now M03 M06 M09 M12

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