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Virtual Data Browser

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Search content (via search engines) Create content (composer) ... User gets bookmark to job handle added to special My Requests folder where they ... – PowerPoint PPT presentation

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Provided by: shav153
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Tags: browser | data | engine | job | search | virtual

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Title: Virtual Data Browser


1
Virtual Data Browser
  • Shava Smallen

2
Grappa
  • Grid Access Portal for Physics Applications
  • Based on XCAT Science Portal technology
  • Framework for building application-specific
    science portals
  • Execution management based on notebooks
  • A collection of scripts, html forms, and pages
  • Sub-notebooks save the parameters

3
Grappa (cont.)
  • Prototype has been developed
  • Development of an Athena notebook
  • Submission of jobOptions file to a remote
    resource via Globus CoG
  • File staging
  • File editor
  • Next steps
  • Interface to GVDS

4
Virtual Data Browser
  • An interface by which a user can browse and
    retrieve virtual data
  • Functionality analogous to that of a web browser

5
Web Browser
  • Navigate content
  • Search content (via search engines)
  • Create content (composer)
  • Store bookmarks to commonly visited sites
  • User information and preferences
  • Push technology (e.g. stock quotes)

6
Browse Transformations
Browse Derivations/VDP
Create Transformation
Submit Derivation To Planner
Create Derivation
Listener
Virtual Data Browser
GriPhyN Virtual Data System
7
Browse Derivations
  • Navigate
  • Point N Click (hierarchical view)
  • Search by attributes
  • Search filters
  • Intelligent filters/Search templates (Yong)
  • Store bookmarks for later reference
  • While querying, VDB will supply GVDS with user
    profile for authentication, cost estimates, etc.
    purposes

8
User Profile
  • Credential management
  • E.g., renew proxy, CAS server
  • Specify GVDCs
  • E.g., ATLAS, CMS, private
  • Resource management
  • VDB configuration
  • Bookmark management

9
Submitting Derivation to Planner
  • Planner will decide to fetch or rematerialize
  • (a new derivation specifies data that has never
    been materialized)
  • User gets bookmark to job handle added to special
    My Requests folder where they can monitor status,
    talk to planner, cancel request, etc.

10
Create Derivation
  • User finds transformation
  • Fills in parameters
  • Execution specific (i.e., transformation
    parameters)
  • Application specific (i.e., add metadata)
  • Specifies permissions on who can access data

11
Create Transformation
  • Specify parameters
  • Configuration file
  • Environment
  • Command-line
  • Metadata
  • Load existing transforms
  • Documentation
  • Validation stage
  • Run to test that app is Grid-able
  • Commit
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