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Data Management in Mobile Computing

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Data Management in Mobile Computing Kien A. Hua School of EECS University of Central Florida Applications Location-based services Ubiquitous Computing Traffic and ... – PowerPoint PPT presentation

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Title: Data Management in Mobile Computing


1
Data Management in Mobile Computing
Kien A. Hua School of EECS University of Central
Florida
2
Applications
  • Location-based services
  • Ubiquitous Computing
  • Traffic and incident management
  • Environmental monitoring
  • Mobile communication

3
Challenge
  • Traditional and spatial databases cannot handle
    the rate of location update from moving objects

4
Processing Range-Monitoring Query
  • What is range-monitoring query?
  • Retrieve mobile objects in a spatial region, and
  • continuously monitor the population in the area

5
Range-Monitoring Queries
Q2
a
d
e
Q1
c
b
f
6
Range-Monitoring Queries
Q2
a
d
Q1
e
b
c
f
7
Research Issues
  • How to minimize location updates?
  • Each update involves mobile communication costs
    and server processing costs
  • How to minimize monitoring update cost?
  • Query results keep changing

8
Safe Regions
Rectangular Safe Region
Q1
Q2
Q5
a
Q3
Q4
Circular Safe Region
9
Problems with Safe Regions
  • Computing a safe region takes from O(n) to O(n
    log3 n)
  • Adding a new query requires re-computation of
    safe regions for all objects

10
Challenge
  • How to provide
  • accurate query results, and
  • real-time updates?

11
Proposed Monitoring-Query Management
Q1
Q6
Q3
Q2
a
Q5
Q7
Q4
Resident Domain
12
Computing a Resident Domain
  • Given an objects position P and its processing
    capability N, its resident domain should
  • contain position P, and
  • be as large as possible, but
  • contain no more than N queries

13
Domain and Query Decomposition
Q2
Q3
R1
R21
R22
Q1
R31
Q4
R42
R41
14
Domain and Query Decomposition
Q2
Q3
R1
R21
R22
Q1
R31
a
Q4
R42
R41
15
Domain and Query Decomposition
Q2
Q3
R1
R21
R22
Q1
R31
a
Q4
R42
R41
16
Binary Partitioning Tree (BP-tree)
D
domain node
D
data node
17
Binary Partitioning Tree (BP-tree)
D
d1
d2
d1
d2
18
Binary Partitioning Tree (BP-tree)
D
d21
d1
d2
d1
d21
d22
d22
19
Mobile Communication Cost
30
25
20
Safe Region
15
Number of messages sent by mobile objects
(millions)
MQM
10
5
0
10
20
30
40
50
60
70
80
90
100
Number of monitoring queries (thousands)
20
Server Processing Cost
1000
100
Safe Region
10
MQM
Number of index nodes accessed (millions)
1
0.1
10
20
30
40
50
60
70
80
90
100
Number of monitoring queries (thousands)
21
Significant and Impact of MQM
  • MQM is highly scalable, in terms of
  • mobile communication costs, and
  • server processing costs,
  • for real-time range-monitoring query
    management
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