1 / 49

A Disaster Recovery System Featuring Uncertainty Visualization and Distributed Infrastructure

A Disaster Recovery System Featuring Uncertainty Visualization and Distributed Infrastructure. Lynne Grewe California State University East Bay. Disaster Recovery. Issues. Disaster Incident Definition/Protocol Categories of Data representing Incident Methods of Data Capture

september-dunlap
Download Presentation

A Disaster Recovery System Featuring Uncertainty Visualization and Distributed Infrastructure

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. A Disaster Recovery System Featuring Uncertainty Visualization and Distributed Infrastructure Lynne Grewe California State University East Bay

  2. Disaster Recovery

  3. Issues • Disaster Incident Definition/Protocol • Categories of Data representing Incident • Methods of Data Capture • Data and Uncertainty Computer Representation • Fusion Processes to Reduce Data Size. • Storage and Data Distribution Needs • Personnel Roles and related Security Needs • Data Presentation • Communication Needs • Administration and Incident Control Tools

  4. Previous Work • Protocols (NIMS/ICS) • Specialized Components • C3 related work

  5. Features of Direct • Visualization • Uncertainty Visualization • Distributed Infrastructure • Communications Application of Mobile Agents • Protocol Structure • Client Control

  6. DiRecT Overview

  7. DiRecT Server • EJB components for persistence and business logic • JMS and Mobile agents for instant-memoing • JMS for incident updates • Oracle database for persistence

  8. DiRecT Field Clients • create a new incident • manage multiple incidents • request resources, personnel and equipment for a given incident • assignment of personnel

  9. DiRecT Admin Client • Activation / Deactivation of incidents • Creation of new personnel, equipment and resources. • Assigning personnel to incidents • Fulfilling resource requests • Purging incidents from the database

  10. Incident • Tracking of victims, personnel • Hazardous materials • Natural hazards response • Search-and-rescue missions • Fires • Air, rail, ground, and water transportation accidents • Incidents with multiple casualties…and others. • Planned human events, e.g., large crowd gatherings, concerts, etc.

  11. Incident Creation

  12. Field Login

  13. Beginning of Incident

  14. Biotarget Data Capture • Victims

  15. Some Visualization Cues • Opaqueness-Transparency • Icons/Glyphs • Color (pseudo-coloring or color representation) • Brightness/Intensity • Texture • Atmospheric Effects • Adding/Altering Geometry • Layers • Focus • Pop-up textual information • Animation • Morphing • Time Fading • Sounds (volume, key, duration, fade)

  16. Biotarget Visualization • Iconic • Color • Transparency • Location • Bloom

  17. Biotarget Color Color of Icon = F(Health,Saftey, Certainty) Red = Max(ColorSafetyR, ColorHealthR) Green =Min(ColorSafetyG,ColorHealthG)

  18. Search Area

  19. Search Area Visualization • Color • searching searched • Shape • Transparency • Location

  20. Equipment

  21. Equipment Visualization • Iconic &Color Medical Hazard Water • Transparency • Location&Bloom

  22. Personnel

  23. Personnel Visualization • Iconic • Transparency • Location&Bloom

  24. Hazards

  25. Hazard Visualization • Iconic &Color Water Explosion Chemical • Transparency • Location&Bloom

  26. Image Fusion • Multiple sources • Partial • Overlapping • Scale, Rotation, Translation

  27. Image Layers • Like Photoshop • Opacity

  28. Control Layers

  29. Visualization Control • Control clutter • Better Decisions • View only desired data

  30. Contrast

  31. Biotarget Before Highlight <= 60% health

  32. Area

  33. Filter Certainty > 60% Before

  34. Infometrics • Count • Search Search and highlight for biotargets Health <=60%

  35. Count Count in Area BioTargets

  36. DiRecT Server • Remote method invocations • Transparent fail-over • Back-end integration • Transactions • Clustering • Dynamic redeployment • Clean shutdown • Logging and auditing • Threading • Object life cycle • Resource pooling • Security • Caching • Communications

  37. DiRecT Server

  38. Data Storage

  39. Data Dissemination

  40. Aglets use - Memoing

  41. Instant Memoing

  42. Aglets over JMS • Aglets can very easily and efficiently send private messages, while with JMS it is not so simple. • Aglets is explicitly asynchronous while JMS can be made asynchronous through durable subscriptions • Each mobile agent can carry different a encoding/decoding algorithm. • Agents can be controlled and can react dynamically to unfavorable situations on a host • JMS reliable, mature technology.

  43. Future Work • AI • Testing • System Integration • PDA, other devices

More Related