Integrating Web 2.0 Technologies with Scientific Simulation Codes for Real-Time Collaboration Gabrielle Allen (LSU) , Frank Loeffler (LSU), Thomas Radke (AEI), Erik Schnetter (LSU), Edward Seidel (NSF/LSU) E Cluster Computing, New Orleans, September 2009
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Integrating Web 2.0 Technologies with Scientific Simulation Codes
for Real-Time Collaboration
Gabrielle Allen (LSU), Frank Loeffler (LSU),
Thomas Radke (AEI), Erik Schnetter (LSU),
Edward Seidel (NSF/LSU)
IEEE Cluster Computing, New Orleans, September 2009
Gravitational Wave Physics
Observations
ModelsAnalysis & Insight
Petascale problems: Full 3D general relativistic models of binary systems, supernova, gamma-ray bursts
At LSU …• 300 Cactus thorns• 10,000 potential parameters• 20 different supercomputers• 100-2000 cores• Days/weeks to run (checkpoint/restart)• GBs to TBs of data (HDF5, ASCII, jpeg)
8
Collaborative Technologies
• Technologies to share simulation-related information developed in our group from the early 1990s– Essential to support the scientific research
• Review historical evolution of these technologies
• Show how Web 2.0 provides new tools to enable old scenarios
9
Web-based Mail Lists
• Mosaic web browser (1993, NCSA)– Seidel’s group at NCSA worry about content– http://archive.ncsa.illinois.edu/Cyberia/NumRel/GravWaves.html (1995)
• Collaborative Cork Board (CoCoBoard) (Mid 90’s)– Researchers have web-based “project pages”– Could attach images!! (usually 1-D plots of results)– Used till late 90’s
• Currently– Project based private wikis: parameter/output files, figures– Organize material for weekly project conference calls– Cons: network to access/edit wiki, editing slow
Cool and useful, but lots of work (FTE) to develop and modify portal service, difficult to configure.
20
Web 2.0 Technologies
• Use for collaborative, simulation-level messaging and information archiving– Reliable, persistent, well-documented,
user-configurable, cheap, well supported, good APIs
21
Twitter
• March 2006• Real-time short messaging system.
Users send and receive each others updates (tweets). Wide range of devices and rudimentary social networking.
• Receivers can filter messages they see and specify how they receive them
• Twitter API (e.g. post a new Twitter message from a user)
• Free
22
Thorn Twitter
• Uses libcurl• Cactus parameters
for twitter username/password
• Twitter API: statuses/update
• At LSU “numrel” group account
• Messages when simulation starts and at different stages
23
Flickr• 2004, image hosting website for digital photographs
(and now videos). Bought by Yahoo (2005).• Professional account ($25/yr) for unlimited use• Web service API for uploading and manipulating
images– Group images into Sets and Collections– Tags, title, description, metadata from EXIF headers
• Social networking: users can comment on images, flag them, order by popularity, etc. Public/Private/Friends/Family. Blogs.
• RSS field allows quick previewing.
24
Thorn Flickr
• Send images from running simulation
• Uses: flickcurl, libcurl, libxml2, openssl
• Authentication more complex (api key, shared secret)
• Thorn uploads images that are generated by Cactus (and known to I/O layer), e.g. IoJpeg
• Each simulation given its own Flickr set
25
Future Work
• Extend capabilities, production testing• Common authentication mechanism• Social networking model (individual/shared
accounts)• Development of common tags, more metadata etc• Storing videos (Flickr, YouTube, Vimeo)
– Advantage for scientists presenting
• Lots of other possibilities: DropBox to publish files across a collaboration, WordPress for simulation reports/blogs, FaceBook to replace grid portals and aggregate services, Cloud computing APIs for “grid” scenarios, …
26
Conclusions• Started as a fun project (undergrad)• Web 2.0 provide reliable delivery, storage,
access, and flexible collaborative features• Can use Web 2.0 to easily prototype new
interactive and collaborative scenarios (have really missed this)– Small groups and individuals can do this too!!
• Target standard of ease-of-use for cyberinfrastructure development
• For real use need unified authentication, clear policies on data, site versions