Transcript CCLRC Template - National e

The CCLRC DataPortal
Shoaib Sufi
AMH 2004 Nottingham
CCLRC e-Science Centre
Background
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Motivation
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A interactive data access gateway to scientific data.
Making existing scientific data resources accessible through a single interface.
Acting as a broker between scientists, facilities and data.
Why is it needed?
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Grid enable facilities at CCLRC
Many instruments and experiments run; on Synchrotron , Neutron Spallation, Lasers
Make data accessible, support single sign on integration, facilitate 3rd party transfer,
allow machine access for composition of data into workflow systems
What is the Data Portal?
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Currently scientists have limited support for accessing, managing and transferring data.
The Grid hopes to provide computational and analytical services.
The scientist need some why of finding and transferring the data for these ‘grid
services’.
Benefits
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Repetition of experiments can be avoided.
Collaborations can be built by identifying that someone else is working in a similar
area.
Data about a related material can be found and used to aid a new analysis.
Data can be rediscovered and reanalysed when better analysis tools becomes
Shoaib Sufi
available
CCLRC e-Science Centre
Current Uses
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3rd Set 2004
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Generic Data Portal
– Allows data access for 4 facilities:
• The Synchrotron Radiation Department.
• The Neutron Spallation Source.
• The British Atmospheric Data Centre (NERC Data Center).
• Max-Planck Institute for Meteorology.
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e-Minerals Mini-Grid
– Environment from the molecular level.
– Environmental problems, such as transport of pollutants, weathering, and
containment of high-level radioactive waste require a understanding of the
processes at a molecular level.
– Computer simulations at a molecular level can give considerable progress
in our understanding of these processes.
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e-Materials
– Combinatorial materials science and polymorph prediction.
– Again, simulations can progress their understanding.
Integrative Biology
– Used as part of the data management infrastructure
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Shoaib Sufi
CCLRC e-Science Centre
Previous Problem
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User
Local data
Local Local
data data
Local data
Facility 1
FacilityFacility
1
1
Local data
Local data
Local data
Facility N
Facility 4
Facility 6
Facility 5
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CCLRC e-Science Centre
General Architecture
CCLRC Data Portal
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3rd Set 2004
Other Data Portal instances
Xml Wrapper
Xml Wrapper
Xml Wrapper
Local metadata
Local metadata
Local metadata
Local data
Local data
Local data
Facility 1
Facility 2
Facility N
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CCLRC e-Science Centre
Core Modules
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• Web Interface, Query and Reply, Lookup and Help.
• Important function grouped into modules, each
modules with a web service interface, interface
description in WSDL and communicate via SOAP.
Shoaib Sufi
CCLRC e-Science Centre
Additional Modules
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• Access Control, Authentication and Authorisation, Data Transfer,
Shopping Cart, User Administration, Facility Administration and
Accounting.
• Functions grouped into modules, each with web services
interface. These Modules could be user by others or exchanged
with ones that have the same interface but better
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implementation.
CCLRC e-Science Centre
External Services
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3rd Set 2004
• XMLWrappers, HPC Portal, Visualisation Portal,
SRB, other DataPortal Instances .
• Other services that are linked with the DataPortal, but
are not integral part of it. Registered with the Portal
and accessible via web services interface.
Shoaib Sufi
CCLRC e-Science Centre
Authentication
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3rd Set 2004
USER
5: getPermissions(SID)
Session
Manager
Web Interface
START: Login(name, passphrase, lifetime)
4: return SID
1: get certificate(name,
passphrase)
MyProxy
START: Login(name, passphrase)
3: startSession(certificate,
permissions)
2: getUserPrivileges (certificate)
Get permissions from
database for facility A
OUTSIDE
SERVICE
Authentication
Access &
Control
FACILITY A
Access &
Control
FACILITY B
FACILITY A
ACCESS & CONTROL
DATABASE
FACILITY A
ACCESS & CONTROL
DATABASE
Session
Manager
SESSION MANAGER
DATABASE
Set permissions
in database for
all facilities for
duration of
session
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CCLRC e-Science Centre
Authorisation
Data Portal
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Facility
1) Delegated Globus credential
Access And Control
2) Access and Control maps
user’s DN to local facility’s
system and obtains user’s
access rights to facility.
Data Portal
Authentication
3) Access and Control returns
authorisation token
3) Access and Control creates
an Authorisation Token and
puts the access rights
information into the Token.
Then signs the Token with its
private key.
Shoaib Sufi
CCLRC e-Science Centre
XML Wrapper
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3rd Set 2004
• Data archives hold metadata in different formats and
format structures:
– Databases (relational, object based)
– Flat Files
– XML
• Needed by CCLRC Data Portal to convert from Data
Archive format to XML implementation of the CCLRC
Scientific Metadata Model (CSMDM) understood by
the Data Portal
• Act as an Adaptor layer giving the Data Portal a
uniform view of differing metadata sources
• API is what matters, but interesting to look at their
architecture; good Wrappers support a full flexible and
efficient applications built on top of them (e.g. CCLRC
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Data Portal)
CCLRC e-Science Centre
Architecture
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XmlWrapper Framework
DataPortal
(via Q&R module)
W3C XQuery,
Proxy Credential,
Authorisation Token
XMLWrapper:
Doc Selector
Metadata mapped from
Archive schema To
CSMD format
Result Generation,
Cache Generation
& Cache Coherency
XML
Database
Cache
XMLWrapper:
Doc Builder
Update database with
New and changed
CSMD XML entries
Data
Archive
Shoaib Sufi
CCLRC e-Science Centre
Architecture
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XML Wrapper Selection
– The DataPortal supplies an
• XQuery selector which is run against the archives metadata set (can also contain
formatting directives)
• Proxy Certificate – to check that the user is authentic
• Authorisation Token – to check that the user has the right permissions to see the
metadata
– Security steps
• Authorisation Token is checked to see that it has the same DN as the one in the
Proxy certificate
• Authorisation Token is checked to see if it was signed by the correct Authorisation
Authority
• Authorisation Token is checked to see the user is authorised to see the metadata.
– Selection steps (if Security steps passed)
• The XQuery is checked to see if the results already exist in the query cache
• (if not) The XQuery is run against the XML stored in the XML-DB
• The Results are returned using (web services)
XML Building
– The Document Builder converts all studies in the Archive into CSMD records and
inserts them into the repository
– The Builder periodically checks for new studies or changes to existing studies and
updates the repository
Shoaib Sufi
CCLRC e-Science Centre
Benefits
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No need to support a custom API
– The use of XQuery allows XML Wrapper users to extract the
information they need once the CCLRC Scientific Metadata XML
Schema (CSMD-xml) is known by the user of the wrapper.
Queries work on the XML-DB CSMD representation of the archive in
one go; however due to efficient indexing of nodes by such XML-DB’s
such as eXist the computational cost is not prohibitive
Does away with (or lessens) the need for XSLT scripts on the Data
Portal as XQuery can do all (or the majority) of the formatting work.
Architecture is De-coupled from XML Schema
– this architecture could equally be used to serve other XML Schema
formats (just need a new XMLWrapper DocBuilder)
There is a need to be aware of cache coherency issues
– XML-DB cache
– XML Selector cache
– Use timestamps to update whole records when one item changes
in a particular study (CSMD) record – this is the preferred solution
at the moment
Shoaib Sufi
CCLRC e-Science Centre
Metadata Model Structure
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The CCLRC Scientific metadata model
(CSMDM) is a study-data set orientated
model holding study information about:
– Topic Indexing
• Keywords
• Taxonomies
– Provenance
• What the study is, who did it and
when
– Data Holding
• Detailed description about what
the data is and its layout
– Legal notes
• Copyright, patents and conditions
of use etc relating to the study
and the data in the study
– Related Material
• Publications, Community
information and related links
– (Access Conditions)
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Metadata Granule
Study
1 M
Investigation
1
1
Topic
Data
Holding
Access
Conditions
Related
Material
Legal Note
Shoaib Sufi
CCLRC e-Science Centre
Features
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• Allows for indexing by keywords & topics and
increasing levels granularity:
– Study, Investigation Data Set, Data Object
• Can also hold parameter information for data
object and data sets
• Has Conformance Levels
– Increasing amounts of metadata and indexing
• Enumerations: controlled vocabularies
suggested for static data e.g.
– Classification systems for Topic Indexing
– Standard Parameter names/units
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CCLRC e-Science Centre
HPC Portal
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• Another e-Science Centre project to develop a
Web portal to search for resources and submit
HPC applications to a computational Grid.
• Uses Globus toolkit v2.2
• Functionalities include:
– Resource Management: GRAM.
– Information Services: MDS.
– Data Management: GridFTP and GASS.
– All use GSI security protocol as the
connection layer.
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CCLRC e-Science Centre
Integrated Portals
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GSI
Data Systems
DataPortal
Web Services
GridFTP
Web Services
HPCPortal
Web Services
Visualisation
HPC Systems
Globus
Working with GGF Grid
Computing Environments
Research Group
Shoaib Sufi
CCLRC e-Science Centre
Single Sign on
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• How do you have single sign on?
• Both HPC and DataPortal have their own
Session Managers which rely on Globus Proxy
Credentials.
• Integrated session managers communicate over
SSL using mutual authentication between the
web servers.
• Allows user’s credentials to be delegated
between portals allowing single sign on.
• The certificate can then be used for GSI
authentication.
Shoaib Sufi
CCLRC e-Science Centre
Single Sign on
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USER
START: Log on to
DataPortal then to
HPC Portal
FINISH: User is sent to HPC
front page to use its services
3: LoginHPC(SID)
DataPortal
HPC Portal
8: HPC Session id
1: Login(username,
password,lifetime)
Via Authentication
Module
Dataportal
Session
Manager
2: Dataportal SID
7: TRUE
6: Delegated Credential
4: isValid(SID)
HPC
Session
Manager
5: RequestCert(SID)
Shoaib Sufi
CCLRC e-Science Centre
Scenario
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• User logs on to Data Portal and searches for
data.
• The data found and link to the are added to the
persistent shopping cart.
• The user could then transfer the data to another
machine using GSI FTP, either using the Data
Portal or the HPC Portal.
• Using single sign on, the user could then go
directly to the HPC, run a remote job run on the
data they have just transferred (using e.g. GSI
FTP) and then transfer the results back to their
machine for analysis.
Shoaib Sufi
CCLRC e-Science Centre
Questions
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?
Shoaib Sufi
CCLRC e-Science Centre