1 / 19

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

ramya
Télécharger la présentation

Open Grid System Architecture (OGSA)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related