open mic tina
DESCRIPTION
TRANSCRIPT
NORMATIVE
MODELS FOR
EVIDENCE-BASED
PROCESS
ANALYSIS OF
WIRELESS MOBILE
GRIDS
Tina Balke, University of
Bayreuth / University of Bath
WIRELESS MOBILE
GRIDS: POTENTIAL
STARS, CASH
COWS, QUESTION
MARKS OR DOGS
– AND HOW TO
FIND OUT?
Tina Balke, University of
Bayreuth / University of Bath
Financial Challenges for the
Mobile Phone Sector
Intensified competition due to market
penetration of 132% (EU)
ARPU: 15€/month (Germany)
Negative profit margin of -7% is expected
by 2012 (for some companies, negative
EBITDA expected) (EU)
Infrastructure Challenges for
the Mobile Phone Sector
Application demand for digital content is
rising
Infrastructure network capacity is limited
Smartphone battery life cycle poses a big
problem, and is considered especially
important by customers
Smartphone compute and ad-hoc
network facilities are under-utilized
Wireless Mobile Grids – A
Solution!?
The Public Good Problem in
Wireless Mobile Grids
Life Cycle Costs
Source: BCG
Essential Question: How to
can we find out if wireless
mobile grids can actually
work and are worth investing
in?
Norm. Models for Evidence-
Based Process Analysis
Technical Foundations (Energy & Transmission
Model) Normative Model
Financial Model User Model
Normative Multi-Agent-System
Simulation
Early Results
state power value [W] data rate [Mbps]
sending 1,629 5,623
receiving @ 3m 1,375 5,379
idle @ 3m 0,952 -
state power value [W] data rate [Mbps]
receiving 1,314 0,193
idle 0,661 -
Source: Gian Paolo Perrucci, Aalborg University
Power Levels and Data Rate For Cellular - 100 byte
Power Levels and Data Rate For WLAN Broadcast - 1000 byte
Early Results II
Analytical normative model
ignoring strategic user behavior
potential for wireless mobile grid solution
Normative MAS model
without enforcement
with strategic user behavior
significantly worse energy consumption
Early Results III
Financial results:
On average 85%
EBITDA increase for
idealized Wireless
Mobile Grid model
in Germany
Future Research
More realistic models
User interaction and the overall system results
Financial model
Empirical study on Wireless Mobile Grid user preferences
Multi-stakeholder analysis
Test implementation in Aalborg
Location-based services
Acknowledgements
Julian Padget and Marina De Vos,
University of Bath
Torsten Eymann, University of Bayreuth
Frank Fitzek, Aalborg University
