Multidimensional Database Representation of Realtime, Volatile, and Multibehavioral Environments

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Multidimensional DatabaseRepresentation
ofReal-time, Volatile, andMulti-behavioral
Environments
David Levit
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At Time of Disaster
New Orleans afterHurricane Katrina
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At Time of Disaster
In case of disasters, rescue delegations have
little time to prepare and must operate in
chaotic conditions. Coordination efforts between
rescue forces are complex tasks.
"You can do all the planning in the world, but if
you cant communicate with one another, then
you're going to have some issues,"
Mike Zezeski
of the Maryland Sate Highway Department
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Arriving teams dont have information about
concurrent operations of other teams in the area.
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To increase efficiency, teams will interact with
a database to retrieve necessary data collected
by all types of teams (police, firefighters,
army, etc.)
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The volatile nature of rescue operations requires
teams to immediately store different type of
information in the database, leaving no time for
human evolvement to modify the database structure
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Traditional relational and multidimensional
databases are poorly equipped to deal with data
collected from dynamic and volatile environments,
like rescue operations These databases data
models of real-world objects require human
involvement for creation and modification
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The goal of this research is to design a database
architecture that does not depart far from the
foundations in relational and multidimensional
databases, but has a sufficiently flexible
structure to allow the database to adequately
self-manage its data model, responding to
volatile nature of the environment
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The proposed design is based on a
multidimensional models fundamental structure,
because of its ability to intuitively divide
complex entities of the real world into basic
constituentscalled dimensions and member
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Rescue teams equipped with portable computers
with database clients will operate with
dimensions unique to teams tasks and dimensions
shared with other rescue teams
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N-Dimensional Cube

Central Database
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N-Dimensional Cube
Connection
Database capable to self-restructure toinclude
new dimension
Central Database
Connection
Connection
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N-Dimensional Cube
Data Inserted
Central Database
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N-Dimensional Cube
Data Queried
Central Database
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N-Dimensional Cube
Data Inserted
Central Database
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N-Dimensional Cube
Data Queried
Central Database
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N-Dimensional Cube
Data Inserted
Central Database
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N-Dimensional Cube
Dimensions and data shared between rescue teams
Data Queried
Central Database
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Central Database
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Graphical representation of two handheld computer
systems that rescue teams will carry during
missions
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No Agents Connected to Database
No dimensions are present in the database
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Firefighters Team Connected to Database
Locations inserted in database
Can insert data into database pertinent to
different types of teams
Dimensions present in database
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Firefighters Team Ambulance Team Connected to
Database
Ambulance Amb dimension added T, Agent,
B, A are shared
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Firefighters Team Disconnected from Database
Firefighters F dimensions subtracted from
database
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Firefighters Team Reconnect with Database
Data restored fromhistorical record
Firefighters F dimensions added to database
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Advantages of the Database Architecture

• The database architecture is ready to be used in
  any environment without human modification
• The architecture can self-restructure to
  accommodate changes in environments
• The database architecture delivers right
  information at the right time for the right
  client
• Especially beneficial for any disaster situation
  or other volatile settings
• Hurricanes
• Tsunami
• Combat Operations