Using Semantic Caching to Manage Location Dependent Data in Mobile Computing Qun Ren, Margaret H. Dunham - PowerPoint PPT Presentation

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Using Semantic Caching to Manage Location Dependent Data in Mobile Computing Qun Ren, Margaret H. Dunham

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Mobility model to represent moving objects. Formal definition ... Query trimming. Probe query. Remainder query. Coalesing partial results. LDD Cache Management ... – PowerPoint PPT presentation

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Title: Using Semantic Caching to Manage Location Dependent Data in Mobile Computing Qun Ren, Margaret H. Dunham


1
Using Semantic Caching to Manage Location
DependentData in Mobile Computing Qun Ren,
Margaret H. Dunham
  • Presented by
  • Jekkin Shah

2
Objective
  • Application of semantic caching to location
    dependent applications
  • Eg. Mobile user, navigation system .

3
Contributions
  • Mobility model to represent moving objects
  • Formal definition of location dependent queries
  • Strategies for query processing
  • Cache management strategies

4
Modeling mobility
  • L (LX, ,LY) location of object in 2D
  • ( lat-long )
  • V lt VX, VYgt velocity at any instant of time
  • Ldt ( (VX dt LX, ) , (VY dt ) LY )

5
Query model
  • (QR, QA, QP, QL, QC )
  • QL is the location
  • QC is the result of the query

6
Query predicate example
  • (price lt 100)
  • (LX 20 lt xposition lt LX 20 )
  • (LY 20 lt xposition lt LY 20 )
  • a operator ( LX c )
  • a attribute , c constant, LX location
    variable

7
LDD Cache model
  • Cache consists of LDD semantic segments
  • Each segment starts with a new page
  • Additional parameters like Timestamp is also
    stored

8
LDD query processing
  • Query trimming
  • Probe query
  • Remainder query
  • Coalesing partial results

9
LDD Cache Management
  • FAR ( Farthest Away Replacement )
  • Improvisation on existing technique
  • Calculating Manhattan distance taking location
    and direction into account
  • ( in-direction , out-direction )

10
Performance study
  • Performance of semantic caching scheme
  • Cache replacement strategy
  • Workload Design
  • Database design with various parameters
  • Query design ( select only queries )
  • Moving path design
  • One-way, return trip , random
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