A Virtual Laboratory for Global Biodiversity Analysis PowerPoint PPT Presentation

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Title: A Virtual Laboratory for Global Biodiversity Analysis


1
A Virtual Laboratory for Global Biodiversity
Analysis
2
Talk Outline
  • Background Project Information
  • Biodiversity World System
  • Current Progress and Future Work
  • Q (hopefully) A

3
Project Participants
  • Southampton
  • Oliver Bromley
  • Cardiff
  • Alec Gray
  • Andrew Jones
  • Richard White
  • Nick Fiddian
  • Xuebiao Xu
  • Nick Pittas
  • Bristol
  • Paul Valdes
  • Reading
  • Frank Bisby
  • Alistair Culham
  • Neil Caithness
  • Tim Sutton
  • Peter Brewer
  • Chris Yesson
  • NHM
  • Malcolm Scoble
  • Paul Williams
  • Shonil Bhagwat

4
Project Aims
  • To create a prototype problem-solving
    environment (PSE) for Global Biodiversity
    research on the GRID.
  • To demonstrate application of the prototype in a
    range of data/computation intensive biodiversity
    investigations.

5
Objectives
  • to establish a biodiversity GRID with nodes at
    Reading, Cardiff, Southampton and the NHM
  • to design the architecture of a GRID-based PSE
  • to build, and test the basic system
  • to demonstrate the system in use for three
    exemplar analyses.

6
Computer Science Challenges
  • To achieve the seamless integration of the
    resources required in order to construct the PSE
  • Deal with heterogeneity of resources
  • Accommodate for the complex analyses required
  • Consider metadata formats for selecting and
    interpreting data from appropriate resources
  • Apply the above in a GRID environment

7
Exemplars
  • BioClimatic Modelling Climate Change
  • BioDiversity Richness Conservation Evaluation
  • Phylogenetic Analysis Biogeography

8
BioClimatic Modelling
  • Predicting species distributions under past,
    present and future climate scenarios.
  • Models
  • GARP (Genetic Algorithms for Rule-set Production)
  • CSM (Climate Space Models)
  • Bioclim

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BioClimatic Modelling (cont)
  • Has the plant already reached all suitable
    environments world-wide, or are further
    expansions possible?
  • In which parts of Australia might it be worth
    introducing the plant?
  • Where will this plant die out, and where might it
    now appear, if the world is subject to some of
    the global warming scenarios?

11
Biodiversity Richness Conservation Evaluation
  • Concerned with analysis of biodiversity richness
    patterns for particular taxa around the globe.
  • Different approaches to measuring biodiversity
    (by species richness or by taxic diversity)
    depending on the purposes for which the measures
    are required.
  • WORLDMAP to be used as the analysis software (NHM)

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Biodiversity Richness Conservation Evaluation
(cont)
  • Enhance conservation network design by answering
    questions about patterns of complementarity
    (species difference among areas).
  • Provide biodiversity richness assessment for the
    Geometer Moths group.

14
Phylogenetic Analysis Biogeography
  • Aims to use phylogeny to interpret biodiversity
    data such as
  • Species distribution,
  • Species morphology, and
  • Life history evolution.

15
Phylogenetic Analysis Biogeography (cont)
  • is geography a good predictor of relationship
    among lineages?
  • do all lineages show the same dispersal capacity?
  • have lineages stayed put, adapting in situ while
    climates have changed?

16
Architecture (simplified)
17
Data Flow
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Resource Modules
  • Two types of resources
  • Analytic resources (services)
  • Data resources.
  • Wrapped through standard communication Interface.
  • Thus BDWorld GRID split into 2 sub-Grids
  • Computational GRID
  • Data Grid

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Workflow Manager
  • Main point of entry for the user into the system.
  • Allows the user to define the sequence of tasks
    (with associated data) in order to complete an
    analysis.
  • Two versions investigated in parallel
  • Current one based on XPDL representation and the
    Open Business Engine (OBE) WF engine.
  • Has been decided to revert to the TRIANA workflow
    engine (if not both the TRIANA WFM engine and UI)
    in the near future.

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Metadata Repository
  • Allows for resources to publish their metadata
  • Computational capabilities
  • Supported data types
  • Allow for workflow (sub)sequences to verify their
    validity
  • Holds advanced system information
  • Data provenance
  • Alternative computational resources for a given
    task
  • Currently implemented as a relational DB
  • Plans to move on a semantically more flexible
    implementation (OAVs) in future releases

21
Ontology
  • Provides a high level description of system
    entities
  • Helps the user in workflow formulation
  • Concept hierarchies that denote equivalent
    concepts/resources
  • Concept association showing intra-concept
    relationships
  • Currently work in progress

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Communications Layer API
  • Allows for communication among system components
  • Remote component invocation
  • Data interchange
  • Provides clients that invoke resources
    transparently
  • Provides server side behaviour to resources by
    inheriting a single class
  • Implements a standard Data Exchange format
    (Object ?XML serialisation/revival).
  • Allows for monitoring the progress of active
    processes.
  • Currently existing in two flavours
  • RMI-based one (pre-GLOBUS era)
  • OGSA based.

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Communications Layer API (cont)
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Using Globus
  • No major problems encountered (post-beta
    versions)
  • Tricky to work with complex data structures
  • Deployment of finished resources is
    time-consuming/error-prone.

25
Current Progress
  • RMI communications layer currently used
  • OGSA based architecture about to be rolled out
    (was?)
  • Enough resources to carry out the Bioclimatic
    analysis exemplar. (Biogeography almost ready)
  • Rudimentary Metadata repository exists.
  • XDPL/OBE Workflow manager has been successfully
    implemented. TRIANA currently considered.

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Future plans
  • Introduce systems Ontology
  • Revert to TRIANA
  • Convert to an all OGSA architecture(??)
  • Introduce resources/workflows for the remaining 2
    exemplars.
  • Enhance the representational power of the
    metadata repository.

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Questions ?
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