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Slide 1 - Fusion Grid


									     FusionGrid enables more efficient use of computing

• Grid computing is used to securely share computing resources
• Complex codes are centralized
      – Easier for service providers to share their codes with a broader audience
      – Those best suited to support a complex code—the authors—can do so,
        and on their own computers
• Ease-of-use is emphasized: data, codes, and other resources
  abstracted into the idea of a grid “service”
• Security through certificates and authorization database
      – A single account makes it easier for users to use grid resources that may
        be on multiple computers and multiple sites

                   Optimize the most expensive resource: peoples’ time

APS/DPP 2004
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The National Fusion Collaboratory is working towards the
          Collaborative Control Room concept

• Next-generation tokamaks will NOT be in the United States
      – ITER in France or Japan
• U.S. leadership in fusion research will therefore require effective
  use of remote collaboration technology
• The National Fusion Collaboratory is working on a collaborative
  control room
      –   Fully engaged remote scientists with audio, video, shared displays
      –   Secure computational resources that can be scheduled as required
      –   Share individual results with the group via shared displays
      –   Rapid comparison of simulation with experiment

APS/DPP 2004
v 1.1 (20041108)                                                               Overview 2/3
  FusionGrid Computing and Collaborative solutions are
 actively used in the Magnetic Fusion Energy community

• The TRANSP transport analysis code is deployed as a
  FusionGrid service
      – Now the official TRANSP installation, centralized at PPPL
      – Over 4,200 TRANSP runs
      – High-quality support by authors of the code
• Collaborative Control Room concept used & evaluated
      – San Diego scientist remotely led experiment in U.K.
      – Subsequently used between ASDEX-U, JAERI
• GATO stability code service added
      – First test uses of this service at General Atomics

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  Remote Computing made easier though Globus Toolkit

• Codes and other computational resources are abstracted into
  grid “services”, which are accessed securely
• Services provided by multiple hosts at multiple sites, but
  abstraction hides this from users to make things simpler
• Users “sign on” to the grid, not each individual host on the grid
      – A lot of work to implement this, but makes things much easier for users
• Single sign-on implemented through X.509 certificates
• Secure MDSplus—built with components from the Globus
  Toolkit—combines the familiar MDSplus data system with
  Globus middleware for secure data access

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  Authentication made simpler through X.509 certificates

• Each grid user has a single identity for the entire grid
      – Implemented as an X.509 certificate
      – Usually kept in two files: a certificate and a private key
• A centralized Certificate Authority (CA) serves as the authority
  for creating or revoking certificates
• For ease-of-use, users now have the option to store their
  certificate on a MyProxy server
      – Retrieve using a username and password
      – No need to copy certificate files around
      – For security reasons, needed to create a CA for FusionGrid to implement

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       ROAM developed for centralized authorization and
                    account mapping
 •   Centralized authorization was needed so users can easily request
     authorization to use resources
       – Also makes it easier for administrators to manage grid-wide security
 •   Resource Oriented Authorization Manager (ROAM) developed to manage
     user permission on FusionGrid
 •   Permissions can be set for each resource on FusionGrid
       – Each site (e.g. General Atomics, MIT) is modeled as a resource, too
 •   The mapping of grid identity to local accounts is done through this system
       – Before ROAM, this was problematic
 •   Mapping can be as specific as needed, down to the individual resource
 •   Both users and programs access database through secure web server
       – Users can load their certificate into their web browser, or use a username and

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       Resource Oriented Authorization Manager (ROAM)

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  Grid resource monitoring improved through FusionGrid
                     Monitor (FGM)

• Abstracting computing resources makes it more difficult for
  users to monitor the progress of their computations
• The FusionGrid Monitor (FGM) was developed for efficient
  resource monitoring
• Resources post monitoring information to the FGM server
• Monitoring data is pushed to web browser clients using server
  push technology
      – Much more efficient than polling (e.g. frequent refreshing of browser)
      – Client pull available for browsers that do not support server push
• Logfiles available through web interface
• Data persists in a relational database
      – Useful for analyzing performance

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                   Collaborative Visualization using ElVis

•   ElVis Java applet deployed to visualize
    TRANSP data through FusionGrid Monitor
•   ElVis can be used collaboratively so
    multiple researchers can view and annotate
    the same data remotely
     – Share data and interactive
     – Verify certificate credentials of
     – Maintain firewall security.
•   Can retrieve data directly from MDSplus

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    Access Grid provides immersive remote collaboration

• Access Grid (AG) connects remote scientists through audio,
  video, and shared applications
• Works over the Internet
      – No special lines required
• Scalable: entire rooms for large groups, small personal nodes
  for individuals or small groups
      – All are interoperable, so lone researchers are free to collaborate with
        large institutions using the same technology
• Open source, extensible

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                   ShareD: Software for Application Sharing

• Display information sharing
      – Fusion scientists can move computational results from their desktops to
        the shared display.
      – Visualizations from all scientists can be compared side-by-side.
• Concurrent Control
      – Scientists can simultaneously edit and interact with applications.
      – Researchers can annotate visualizations simultaneously.
      – Access and edit control are policy driven and configurable.

APS/DPP 2004                              Users                   Shared Display
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   SCIRun used for advanced visualization of fusion data

• SCIRun is a problem solving
      – Visual programming interface for
        power users
      – Advanced visualization
• Can be run through
  FusionViewer application
• Reads MDSplus and HDF5 data
• Open Source

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        Web Portals provide an easier interface for users

• Instead of asking users to learn new applications, web portals
  provide a unified interface to grid resources
• A lot of work to implement, but makes it much easier for users
  to use grid
• Currently testing a web portal for TRANSP

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                   New interface between MDSplus and SRB

• Storage Resource Broker (SRB) now works with MDSplus
• Extends the number of interfaces to MDSplus
      – Access the data via web services
• SRB brings many capabilities
      – Can store data into HPSS and other archives
      – Adds tools to easily replicate data into multiple resources
      – Higher performance data transfer (via parallel I/O)
      – User-defined metadata capability to locate datasets
      – The separation of the logical from physical name space allowing for
        multiple representations of the collection hierarchy
      – Access to preservation environment for managing technology evolution

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                    Storage Resource Broker and MDSplus

            MDSplus Client                   SRB Interface

           MDSplus Server                     SRB Client

               SRB Switch
                                    SRB       SRB              SRB

                   Local Disk
                                   SRB Servers (connected to HPSS, Web
APS/DPP 2004
v 1.1 (20041108)                   Portals, etc.)
    Advance Reservation feature being developed to allow
          scientists to reserve computing power

•   Computing power can be reserved ahead of time
•   Most useful for experiments where rapid results are critical
•   When needed, computing power is “claimed” by the scientist
•   Advance reservation uses “agreements” to negotiate CPU
      – Other reservations are possible, not just CPU
• Possible to “renegotiate” agreements if needed
• When claiming computing power, other running processes are
  lowered in priority while scientists’ processes are raised in
  priority, making full use of CPU

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                                Advance Reservation

1.   Negotiate
2.   Create Agreement
3.   Renegotiate/Manage (optional)                         Agreement
4.   Claim Agreement                                       Factory


                                        Agreement Management               Agreement Entries:
                                           renegotiation               2   Agreement Terms 1

                                    3      agreement
                                          management                       Agreement Terms N



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                   GATO FusionGrid service deployed

• GATO stability code available as a FusionGrid service
• Runs on dual-CPU Linux computer at General Atomics
• PreGATO client used to launch GATO
      – Simple run management
      – Authorization query capability
      – Can retrieve GATO output files (useful for debugging)
•   GATO outputs stored in MDSplus
•   GATO run management through Code Run Database
•   FGM for monitoring
•   ROAM for authorization

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                   GATO FusionGrid Service



     Client             job submission→      Server

                            GATO tree

                        Code Run DB
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                   Continued success of TRANSP service

• The FusionGrid TRANSP service is the official way to run the
  TRANSP code.
• Almost 3,000 runs completed
• Multiple tokamaks
• The first FusionGrid service and a continued success
2000                        10/31/2002*
1500                        11/1/2002 --
                            11/1/2003 --
500                         10/31/2004
             Total Runs
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