1 / 7

Data mining and discovery of access patterns

Data mining and discovery of access patterns. 3a.i) Adaptive file caching in a distributed system (LBNL) 3b.i) Dimension reduction and sampling (LLNL) 3c.i) Multi-agent based high-dimensional cluster analysis (ORNL) 3c.ii) Analysis of application level query patterns (LLNL, NWU).

garyrios
Télécharger la présentation

Data mining and discovery of access patterns

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data mining and discovery of access patterns 3a.i) Adaptive file caching in a distributed system (LBNL) 3b.i) Dimension reduction and sampling (LLNL) 3c.i) Multi-agent based high-dimensional cluster analysis (ORNL) 3c.ii) Analysis of application level query patterns (LLNL, NWU) SDM kickoff meeting July 10-11, 2001 Area 3 Report

  2. People involved • Adaptive file caching in a distributed system (LBNL) • Ekow Otoo, Frank Olken • Dimension reduction and sampling (LLNL) • Chandrika Kamath, Imola Fodor • Multi-agent based cluster analysis (ORNL) • Nagiza Samatova, George Ostrouchov • Analysis of application level query patterns (LLNL, NWU) • Terence Critchlow, Ghaleb Abdulla, Alok Choudhary, … • Agent technology (ORNL, NCSU) • Tom Potok, Mladen Vouk Area 3 Report

  3. Targeted Application Area(s) • First Year: Climate, HEP, Astrophysics • Future Years: others (to be determined) Area 3 Report

  4. Application(s) contact people • High Energy Physics: • Ask Arie? • Climate (SciDAC): • John Drake & David Erikson: Compute Science and Mathematic Division, ORNL • Ben Santer: Program for Climate Model Diagnosis and Intercomparison (PCMDI), LLNL • Astrophysics (SciDAC): • Tony Mezzacappa: Physics Division, ORNL Area 3 Report

  5. Application Scenario Area 3 Report

  6. System Architecture Area 3 Report

  7. Year 1 Deliverables Distributed simulation product query, search, and retrieval engine (proof-of-principle climate-centric search engine) • VIPAR-based system architecture (Tom) • Develop and test similarity measures & clustering algorithms for climate time series data comparison (Nagiza) • Identify, collect & begin analyzing meta-data from simulation application (Terence) • Optimization of file migration and replacement policies in distributed disk caching using simulation models (Ekow) • (Alok) • Serial implementations of climate–appropriate non-linear non-orthogonal dimension reduction methods; Start dynamic EOFs (Chandrika) Area 3 Report

More Related