D4Science scientific data infrastructure promoting interoperability by embracing the value of the differences (D4SCIENCE-II)

D4Science Scientific Data Infrastructure: promoting interoperability by embracing the value of the differences Pasquale Pagano [email_address] Networking session September 2010 Brussels (Belgium) www.d4science.eu

Assumptions Consolidated facts: Very rich applications and data collections are currently maintained by a multitude of authoritative providers Different problems require different execution paradigms: batch, map-reduce, synchronous call, message-queue, … Key distributed computation technologies exist: grid (gLite and Globus), distributed resource management (Condor), clusters (Hadoop), … Several standards are adopted in the same domain Societal observations A rich variety of protocols, models, and formats Create barriers in the usage of resources Delay dramatically new exploitation patterns Technical observations Protocols, models, and formats heterogeneity increases load, Load increases failures

D4Science Vision D4Science objectives: hide heterogeneity , i.e. abstract over differences in location, protocol, and model; embrace heterogeneity , i.e. allow for multiple locations, protocols, and models; Technical goals no bottlenecks : scale no less than the interfaced resources no outages : keep failures partial and temporary autonomicity : system reacts and recovers

Hiding Heterogeneity [1/2] D4Science is an ecosystem of e-infrastructures where: various communities cohabitate by maintaining their peculiarities and policies, resources sharing and reuse of services from other domains is feasible and affordable

Hiding Heterogeneity [2/2] D4Science approach: Heterogeneous resources are virtually accessible in a common ecosystem of resources despite their locations, technologies, and protocol Different communities have access to different views according to the conditions under which the sharing can occur Each community can define its own virtual research environment to satisfy specific needs for a limited timeframe and at no cost for the providers of the resource Several virtual research environments can coexist without interfering each other even by competing for the same resources

Approaches and solutions to achieve interoperability : Blackboard-based asynchronous communication between components in a system one protocol to R/W and one language to specify messages Wrapper/ Mediator-based translates one interface for a component into a compatible interface Proxy-based exposes the same interface but allows additional operation over received calls Adaptor-based provides a unified interface to a set of other components interfaces and encapsulates how this set of objects interact Broker-based Specialises an Adaptor by coordinating communication Embracing Heterogeneity: Interoperability Approaches

Embracing Heterogeneity: Data Representation, Discovery, and Access D4Science offers Open transformation service framework Extendible with specific source-target mediators To use for metadata and data crosswalk transformations Tailored for statistical, geospatial, temporal, and textual data Rich set of reference data Extendible with domain-specific reference data To reuse in services for data curation and harmonization Support for geospatial services To capture, manage, analyze, and display all forms of data that can be geographically referenced Integrated resources registry Format agnostic To support discovery and access

D4Science offers solutions to: Decouple the business domain and infrastructure specific logic from the core “execution” functionality Invocate a wide range of logic components: SOAP and REST WebServices, Shell Scripts, Executable Binaries, POJOs, … Support most of the execution paradigms: batch, map-reduce, synchronous call Bridges key distributed computation technologies: grid (gLite and Globus), Condor, Hadoop Control and monitor the execution of a processing flow Staging of data among different storage providers Streaming data among computation elements Embracing Heterogeneity: Process Execution [1/2]

Embracing Heterogeneity: Process Execution [2/2] By using adaptors that operate on a specific third party language and translate them into native constructs, allow for the creation of complex workflows that exploit several diverse technologies deployed on different infrastructures

Conclusions Facts Very rich services and data collections are currently maintained by a multitude of authoritative providers Several standards are adopted in the same domain Interoperability approaches are key to exploit such richness D4Science offers a variety of patterns, tools, and solutions to delivery interoperability solutions and interconnect Heterogeneous digital content Heterogeneous repository systems Heterogeneous computation platforms to decrease the cost of adoption to reduce the time to market of new ideas to deal with plethora of standards

Supported Standards WS-* WSRF WS-BPEL JDL JSDL Glue Schema (part) X-* DC, TEI, ISO etc JSR ( several) GSI-Security XACML SAML OpenSearch OGC related https://quality.wiki.d4science.research-infrastructures.eu/quality/index.php/Standards Comply with: OAI-PMH OAI-ORE

Supported Standards WSRF Specifications WS-ResourceProperties (WSRF-RP) WS-ResourceLifetime (WSRF-RL) WS-ServiceGroup (WSRF-SG) WS-BaseFaults (WSRF-BF) JSR 168 : Simple Portlets 286 : 186 update 160 : JMX WSN Specifications: WS-BaseNotification WS-Topics (WS-BrokeredNotification) WS-* Standards SOAP WSDL WS-Addressing ISO: ISO3166 countries ISO4217 currencies ISO1915 geo-location X-* XML XSD XSL XSLT xPath xQuery OGC Web Coverage Processing Service Web Coverage Service Web Feature Service Web Map Context Web Map Service Web Map Tile Service Web Processing Service Web Service Common OGF Standard: Glue Schema (2) ……… . Comply with: OAI-PMH OAI-ORE

Thanks www.gcube-system.org www.d4science.eu Pasquale Pagano D4Science-II Technical Director [email_address] Donatella Castelli D4Science-II Project Director [email_address] Jessica Michel Assoumou D4Science-II Administrative and Financial Director [email_address] D4Science is powered by the open-source gCube framework

D4Science scientific data infrastructure promoting interoperability by embracing the value of the differences (D4SCIENCE-II)

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