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PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
1 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
,
Pic
ture
: ©
Fo
tolia
, Jürg
en P
rie
we
MobiDAgg
Mobile Data Aggregation
Matthias Fischer
Manuel Malatyali
Friedhelm Meyer auf der Heide
PG First Presentation
14.07.2014
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
2 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Big Data: Today
Motivation / Use Case
• Help people find a free parking lot
Implement an App which searchs a near
free lot and states also the route to it
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
3 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Big Data: Today
Motivation / Use Case
• Help people find a free parking lot
Implement an App which searchs a near
free lot and states also the route to it
Infrastructure (Scenario 1)
Stationary sensors, central server
• Placed Sensors (f.i. cameras) sense
free parking-areas and send this information to a central server.
• The position-based query by a car-driver is sent to a server.
(State of the art)
High workload for the server. At peak times the server responses delayed
(Maybe our parking-lot is gone meanwhile)
Big Data Problem
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
4 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Big Data: Meeting Internet of Things
Motivation / Use Case
• Help people find a free parking lot
Implement an App which searchs a near
free lot and states also the route to it
Infrastructure (Scenario 2)
Networked stationary sensors, no server
• Instead of sending a query to a server
ask the next sensor for free parking-lot.
• This sensor maybe asks neighboured sensors
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
5 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Big Data: Meeting Internet of Things
Motivation / Use Case
• Help people find a free parking lot
Implement an App which searchs a near
free lot and states also the route to it
Infrastructure (Scenario 3)
Networked stationary comm. devices,
cars are used as sensors
• Cars observe free parking-lots and send this information to the
next stationary communication device.
• Ask the next communication device for free parking-lots.
• These maybe ask neighboured communication devices.
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
6 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Big Data: Meeting Internet of Things
Motivation / Use Case
• Help people find a free parking lot
Implement an App which searchs a near
free lot and states also the route to it
Infrastructure (Scenario 4)
Cars are used as sensors
and communication devices
• Whole Communication only between cars.
System without static infrastructure possible?
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
7 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Bigger Picture
Distributed position-based aggregation of mobile data
• Networked System based on stationary sensors and mobile sensors (cars)
• Mobile querying nodes are searching for information about their local
environment (e.g. parking-lot)
Goal:
• Send correct, timely response to a query.
• Use as less as possible infrastructure (stat. sensor, stat. comm. devices).
• Use as less as possible memory, CPU-time and communication volume.
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
8 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Tasks
• Investigate different variants for distributed, position-based
aggregation of „mobile“ data.
• Develop distributed Algorithms,
• Analyse correctness, communication volume and/or response time by
theoretical analysis and experimental evaluation.
For the experimental evaluation:
• Implement a simulation environment for our parking lot scenario
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
9 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
MobiDAgg – Mobile Data Aggregation
Next Steps
Now
Finish
Discussion
Start
2 Day Kickoff - Meeting
Workshop-Phase
(Seminar / Lectures)
Target Agreement
Simulator Deadline
October 2015
Nov. / Dec.
Algorithm Design
Theoretical / Experimental Analysis
Simulator
Maintenance Self-o
rganiz
ation
Development
Simulator
Algorithm Design
and Analysis
October 2014
PPT_Mastervorlage_ALG_EN.ppt/FRe/ 11. Mai 2009
10 ©
Pro
f. D
r. m
ath
. F
. M
eyer
auf
der
Heid
e,
Hein
z N
ixdorf
Institu
te, U
niv
ers
ity o
f P
aderb
orn
Heinz Nixdorf Institute
University of Paderborn
Algorithms and Complexity
Fuerstenallee 11
33102 Paderborn
Phone: +49 5251 606480
Fax.: +49 5251 606482
E-mail: [email protected]
www.hni.uni-paderborn.de/en/alg
Thank you for
your attention
