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Www.hdfgroup.org The HDF Group ESIP Summer Meeting HDF Studio John Readey The HDF Group 1 July 8 – 11, 2014.

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Presentation on theme: "Www.hdfgroup.org The HDF Group ESIP Summer Meeting HDF Studio John Readey The HDF Group 1 July 8 – 11, 2014."— Presentation transcript:

1 www.hdfgroup.org The HDF Group ESIP Summer Meeting HDF Studio John Readey The HDF Group 1 July 8 – 11, 2014

2 www.hdfgroup.org ESIP Summer Meeting About Me (briefly) July 8 – 11, 2014 2 IBM/Portable Graphics: 1990-1997 3D graphics – OpenGL, Open Inventor DEC/Intel: 1997 – 2006 Developed Intel Array Visualizer (first exposure to HDF!) Amazon.com: 2006-2014 FBA – Fulfillment for 3 rd party sellers AWS – Diagnostic Tools The HDF Group: 2014 - ? Tools & Cloud Technology

3 www.hdfgroup.org ESIP Summer Meeting What is HDF Studio? July 8 – 11, 2014 3 A set of server and client side software components that enables people to visualize and understand their data and to share that knowledge with others Details: Focus on large structured datasets (HDF5) Share not only the data, but representations of data Utilize Web Standards (REST, JSON, Oauth) Highly scalable (by collection size and number of users)

4 www.hdfgroup.org ESIP Summer Meeting Limitations of HDFView as a Platform July 8 – 11, 2014 4 Data is shared by copying files (e.g. through FTP) Views (graphs) are not persisted Limited ability to handle large data sets Does not address collections (related sets of files) Extending (i.e. plugin architecture) is hard

5 www.hdfgroup.org ESIP Summer Meeting HDF Studio Architecture July 8 – 11, 2014 5

6 www.hdfgroup.org ESIP Summer Meeting HDF Studio Components July 8 – 11, 2014 6 Cloud based repository for data REST API for reading and writing data OPeNDAP support HDF5 library modified to use REST API Studio Desktop App – view and edit data local or remote Plugin model – extensions to Studio can be pulled in dynamically from common repository

7 www.hdfgroup.org ESIP Summer Meeting Challenges… July 8 – 11, 2014 7 Authentication and permission model Let people keep data private or share with others Performance Goal – comparable to local file system performance Scalability Support arbitrary numbers of users accessing service Arbitrary large data collection size Reliability Service should work almost always (99.99% uptime)

8 www.hdfgroup.org ESIP Summer Meeting Where we are now… July 8 – 11, 2014 8 Just getting started! Welcome: Comments Cool ideas Areas for collaboration Intent is to release updates incrementally

9 www.hdfgroup.org ESIP Summer Meeting Questions? July 8 – 11, 2014 9


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