open grid system architecture (ogsa)
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
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Open Grid System Architecture (OGSA)
Azizol Abdullah
FSKTM,UPM
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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
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• 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
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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
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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, ...
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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
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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