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Open Grid System Architecture (OGSA)

Open Grid System Architecture (OGSA). Azizol Abdullah FSKTM,UPM. OGSA-DAI. February 2002 Current partners EPCC, The University of Edinburgh National e-Science Centre, The University of Edinburgh OGSA-DAI phase 4 funded as part of OMII-UK followon OMII-UK Partners

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Open Grid System Architecture (OGSA)

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  1. Open Grid System Architecture (OGSA) Azizol Abdullah FSKTM,UPM

  2. OGSA-DAI • February 2002 • Current partners • EPCC, The University of Edinburgh • National e-Science Centre, The University of Edinburgh • OGSA-DAI phase 4 funded as part of OMII-UK followon • OMII-UK • Partners • OMII, The University of Southampton • myGrid, The University of Manchester • OGSA-DAI, The University of Edinburgh • Funded by UK Engineering and Physical Sciences Research Council

  3. OMII-UK vision • Free open source software • Consultancy • Cultivate and sustain community software important to research • Drive its improvement and impact • Enable and improve multi-disciplinary use • Enable a sustained future for the UK e-Research community

  4. Challenges • Diversity • Data resource types, vendors, middleware, schema, meta data • Scale • Collections, formats, volumes, geographical, political and social distance • Ownership • On individual, group, and organisational levels • Security • Client, service and data owners • Many levels, with many tradeoffs

  5. Heterogeneity • Data model • Database products • MySQL, Oracle, DB2, SQL Server, Postgres,… • eXist, Xindice. • o Persisted or in-memory • Query languages • SQL-92, product-specific extensions,… • XPath, XQuery, XUpdate,… • Database schema • Country, Pays, Nation, … • Doctors.ID, Doctors.id, doctors.drID, Staff.NI, ...

  6. Data with different schema distributed across multiple Databases within an organisation • Transport company • Data distributed across sites • Customer contact • Vehicle mileage • Ticket revenues • Schedule adherence • Combine and mine the data • How bus lateness affects revenue • How bus cancellations affects complaints • Information of commercial significance

  7. Data with different schema distributed across multiple databases within a group of strategic partners • Public health providers • Share data on patients, illnesses and treatments • Combine and mine the data • Early warning of infectious disease outbreaks • Manage access to the data • Within partners – doctors, accountants, receptionists • Between partners – anonymise patient identities • Access policies according to roles and rights of groups of users

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