Virtualizing Lifemapper for PRAGMA: Step 2 - The Computational Tier By Aimee Stewart, Cindy Zheng, Phil Papadopoulos, C.J. Grady University of Kansas Biodiversity.

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Presentation transcript:

Virtualizing Lifemapper for PRAGMA: Step 2 - The Computational Tier By Aimee Stewart, Cindy Zheng, Phil Papadopoulos, C.J. Grady University of Kansas Biodiversity Institute University of California, San Diego

Lifemapper Data – Climate Data – Species Archive Input: points Output: potential habitat maps Tools – LmSDM: Species Distribution Modeling – LmRAD: Range and Diversity GBIF

Lifemapper Tiers Web TierClient TierManagement Tier Pipeline Data updater Job generator Job tracker Metadata manager Lm Web site REST Web Services Job submission Data request Result request Desktop client Browser client Experiment management, Result visualization, exploration, analysis Compute Tier Virtual clusters request Jobs Species Distribution Modeling Range and Diversity Analysis Data Tier Species Sensors Result archives Models

Virtual Biodiversity Expedition Step 1: Species Distribution Modeling Species Occurrence Data Landsat Data Potential Habitat

Adding a PRAGMA Compute Tier LM Compute LM Management LM Data LM Compute

DEMO

Preparation Web TierClient TierManagement Tier Pipeline Data updater Job generator Job tracker Metadata manager Lm Web site REST Web Services Job submission Data request Result request Desktop client Browser client Experiment management, Result visualization, exploration, analysis Compute Tier Virtual clusters request Jobs Species Distribution Modeling Range and Diversity Analysis Data Tier Species Sensors Result archives Models

Execution Specialization – Resources request subset of available jobs – Based on data, users, computation type Scaling – Management - Increased job speed – Compute – increased data replication

Lifemapper funded by: U.S. National Science Foundation NSF EPSCoR NSF EPSCoR EHR/DRL BIO/DBI OCI/CI-TEAM

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