Education and Grid Services
Geoffrey Fo
Professor of Computer Science, Informatics, Physics Community Grids Laboratory
Pervasive Technology Laboratories Indiana University Bloomington IN 47404
Some Players with Education Grid like Technologies
n IMS and ADL in the USA have set standards for some of the
special learning metadata structures
n CHEF (Michigan) and Colloquia (Bangor) are academic
groupware projects aimed at education
• Access Grid from Argonne is Audio-Video conferencing
n Sakai and OKI are Mellon Foundation projects implementing
electronic learning capabilities
n Blackboard and WebCT are popular (some places) academic
e-learning support systems
• Several inhouse efforts like OnCourse at Indiana
n Docent, Topclass etc. are learning content management systems
LCMS mainly selling to corporate training market
n Centra, Interwise, Placeware, WebEx, GrooveNetworks are well
Grids in a Nutshell
n Grids are by definition the best of HPCC, Web Services, Agents,
Distributed Objects, Peer-to-peer networks, Collaborative environments
n Grid applications are typically zero or one very large
supercomputers, lots of conventional machines, with unlimited data and/or people supporting an electronic (virtual) community
• Data sources and people are latency tolerant …
• Multiple supercomputers (or clusters) on same Grid as in
TeraGrid/ETF largely for sharing of data and by people
n Grids are supported by Global Grid Forum, W3C, OASIS …
setting standards
n Grids are a “service oriented architecture” hiding irrelevant
details
• Services are electronic resources communicating by messages • Message based architecture gives scalable loosely coupled
Information/Knowledge Grids
n
Distributed
(10’s to 1000’s) of
data sources
(instruments,
file systems, curated databases …)
n
Data Deluge
: 1 (now) to 100’s
petabyte
s/year (2012)
• Moore’s law for Sensorsn
Possible
filters
assigned dynamically (
on-demand
)
•
Run image processing algorithm on telescope image
•
Run Gene sequencing algorithm on compiled data
n
Needs
decision support
front end with “what-if”
simulations
n
Metadata
(
provenance
)
critical to annotate data
n
Integrate
across experiment
as in multi-wavelength
astronomy
Raw (HPC) Resources Middleware Database Portal Service s Syste Service s Syste Service s Syste Service s Application Servic Libraries Use Services “Core Grid
Typical Grid
Architecture
ApplicationService ApplicationService
Re-use
Re-use
Applicatio Customization
Each service should b
Some Technical Issues
n
All IT approaches support systems with multiple
capabilities
• They often reveal and/or standardize interfaces
• They could be different method calls, Java classes, or
Web/Grid service interfaces
n
We will ONLY use the word
Service
when interface can
be efficiently accessed by messages with service as an
isolated single service
• Grids build systems from message-based services
Module A Module
B
Method Call 1 to 10 microseconds
Service A Service
B Messages
10 to 1000 millisecond latency
Message-based or Method-based
n
Method-based
interfaces are most efficient but can only
be run in that fashion in a single
monolithic
implementation
•
One service
with
multiple ports
•
i.e. each interface might be accessed via message but
all capabilities need to be
co-located
•
Technologies like
Java RMI
allow distributed objects
but requires serialization (often non trivial) and
unclear if application supports performance loss
n
“
Message-based services
” support standards and
Sakai
n The University of Michigan, Indiana University, MIT, Stanford, and the uPortal consortium are joining forces to integrate and synchronize their considerable educational software into a pre-integrated collection of open source tools.
n Sakai builds on OKI – Open Knowledge Initiative – interfaces n These Open Service Interface Definitions were developed
outside the Grid process but appear to have overlaps with many Web service and Grid standards
• Note OGSA-DAI, Security, Workflow, WS-Notification,
Grid monitoring, WebDAV overlaps
n Although they are called “services”, I think they are being
developed initially inside a (single) Java container
Portals
n These are used rather inconsistently for
• A general term for the whole user experience with an interface to multiple capabilities
• Narrow specification of certain capabilities such as customization, server side support for web page generation, aggregation of document fragments (one per service), security
• Broad specification to include both user interface and services
n Note portals tend to be monolithic frameworks because that’s
how one used to build such things
• Jetspeed and CHEF’s modification of it are both frameworks
n Portals need to be broken up into distributed message based
services for security, customization, layout, rendering
• Shouldn’t invest too much in today’s frameworks although they have
some wonderful features
n However Portals do encourage “component” model for user
interfaces and so this fits service model so every service can be packaged with its (document fragment) user interface
OGCE
Consortiu m
The OGCE Computing Grid Portal
• Provides Portlets for
– Management of user proxy certificates
– Remote file Management via Grid FTP
– News/Message systems
• for collaborations
– Grid Event/Logging service
– Access to OGSA services
– Access to directory services
– Specialized Application Factory access
• Distributed applications
• Workflow
– Access to Metadata Index tools
• User searchable index
– Real Time
Collaboration
OGCE
Consortiu m
Example Capability: File Management
•
Grid FTP portlet– Allow
User to manage remote
file spaces
–
Uses stored proxy for
authentication
–
Upload and download files
–
Third party file transfer
• Request that GridFTP server A send
a file to GridFTP server B
• Does not involve traffic through
portal server Portal Server User GridFT P Server A GridFT P Server B GridFT Service 1 of many
Education Grids
n
Education Grids
can be considered from at least
two
points of view
n
1)
Exploiting e-Science and other relevant research
government or business grids whose resources can be
adapted for use in education
• Opportunity to make education more “real” and to give
students an idea what scientific research is like
n
2)
Support the virtual organization that is the teacher
and learner community
• Actually this community is heterogeneous with teachers,
learners, parents, employers, publishers, informal education, university staff ….
Education Grid
Inservice Teachers Preservice Teachers School of Education
Teacher Educator Grids Informal Education (Museum) Grid Student/Parent … Community Grid Science Grids Bioinformatics Particle Physics Earth Science …….
Typical Science Gri Service such as Research
Database or simulation Transformed by Grid Filte to form suitable for education
Learning Management
or LMS Grid
Publisher Grid Campus o Enterprise Administrative Grid
Education as a Grid of Grids
Digital Library
Education Grid of Grids
n
Services in an Education Grid
fall into three classes
n1) Those that
special to Education
such as
quiz
(as in
IMS), learning plan or grading services
n
2) Those that are important but can be
taken from
other Grids
such as collaboration and security
n
3) Those that come from other Grids and are
refactored for education
• The simulation is reduced in size
• The bioinformatics database interface is simplified
e-Science
Resource Filter Education Grid Viewof e-Science Resource
Database Database
Researc Simulation
s Analysis and
Visualizatio Portal Repositorie Federated Databases Data Filte Services
Field Trip Data
Streaming Data Sensor s
?
Discovery Services SERVOGrid Research Education Customization Services From Researc to Education Educatio Grid Computer FarmWhat to do?
• Develop a planning grid of interested parties • Grow a teacher and teacher education grid
– This would largely be a community/collaboration Grid
• Develop prototypes such as Quarknet separating science and teaching side into separate grids
– Develop interface/transformational material
• Note we do not try to make a single seamless grid but rather multiple federated grids
– Use bittorrent not GridFTP (or rather transform between them) – Supply education compute resources on demand
– Make a deal with Google for free searches
• Develop the online instruments, databases, web pages, physics-based games, simulations that are science grids with educational transforms – Videos and MP3’s of Scientists in action
• Develop collaborative whiteboards/ video/ imagery/ chats/ white-papers/ experts-on-demand that form a community grid
– Instant Messenger, audio/video conferencing – Content annotation critical
Undergroundfilm.org is/will be a community grid for educational film makers
(run by Community Grids Laboratory) Has viewer evaluation of content
http://www.yafro.com
supports digital camera
images (as on modern cell phones) and builds
Community Grid A/V Conferencing
SIP H323 AccessGrid NativeXGSP
Admire
Gateways convert to uniform XGSP Messaging
High Performance (RTP and XML/SOAP and ..
Media Servers
Filters Session Server
XGSP-based Control
NaradaBrokerin g
All Messaging
Use Multiple Media servers to scale to many codecs and many versions of audio/video mixing
NB Scales a distributed
We Services
Summary
n Grids are inevitably important for Educationn Grid of Grids interesting way to build “new Grids” that might be
accepted by skeptical participants and enhance re-use
n IMS has set data but not many service standards
• Partial step to interoperability
n Sakai is building modern (probably wonderful) open e-learning
capabilities but appears not to be a Grid/WS standards compliant service architecture
n Current academic/commercial systems are successful but monolithic n Opportunity to build service-based Education Grid Infrastructure
interacting with broad community (from Grids to WS to Schools of Education) exploiting other Grids
n Can build collaboration – A/V Conferencing, Shared applications,
groupware – in Grid/WS architecture
n Critical to build on Community Grids as popularized in P2P networks n Can develop best practice and tools to allow e-Science grids to be linked
to education