UNC/FORTH Archive of Wireless Traces, Models and Tools
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Transcript of UNC/FORTH Archive of Wireless Traces, Models and Tools
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UNC/FORTH Archive of Wireless Traces, Models and Tools
1 Foundation for Research & Technology-Hellas (FORTH) & University of Crete2 University of North Carolina at Chapel Hill
IBM Faculty Award, EU Marie Curie IRG, GSRT grants
Prof. Maria Papadopouli 1,2
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Wireless landscape
Growing demand for wireless access Mechanisms for better than best-effort service provision Admission control, channel switching, load balancing, roaming Performance analysis of these mechanisms Majority of studies make high-level observations about traffic
dynamics in tempo-spatial domain Models of network & user activity in various spatio-temporal
scales are required Limited studies and testbeds for DTNs
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Wireless infrastructure
Wired Network
Wireless Network
Router
Internet
User A AP 1 AP 2
AP3Switch
User B
disconnection
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Wireless infrastructure
Wired Network
Wireless Network
Router
Internet
User A
User B
AP 1 AP 2
AP3Switch
roaming
roaming
disconnection
1 2 3 0Flows
Associations
Packets
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Modelling objectives
Important dimensions on wireless network modelling user demand (access & traffic) topology (network, infrastructure, radio propagation)
Structures that are well-behaved, robust, scalable & reusable
Publicly available analysis tools, traces, & models
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1 2 3 0Association
Session
Wired Network
Wireless Network
Router
Internet
User A
User B
AP 1 AP 2
AP3Switch
disconnection
Flow
time
Events
Arrivalst1 t2 t3 t7t6t5t4
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Modeling structures Session
arrival process starting AP
Flow within session arrival process number of flows size
Captures interaction between clients & network
Above packet level for traffic analysis & closed-loop traffic generation
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Our parameters and models
Parameter Model Probability Density Function Related Papers
Association, session duration
BiPareto EW' 06
Session arrival Time-varying Poisson with rate λ(t)
N: # of sessions between t1 and t2
WICON '06
Client arrival Time-varying Poisson with rate λ(t) Same as above LANMAN '05
AP of first association/session
Lognormal WICON '06
Flow interarrival/session Lognormal Same as above WICON '06
Flow number/session BiPareto WICON '06
Flow size BiPareto Same as above WICON '06
Client roaming between APs
Markov-chain INFOCOM'04
Spatio-temporal phenomena in wireless Web access INFOCOM'04
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Tradeoffs in spatio-temporal modeling
Accuracy Scalability Amenability to analysis
Hourly period @ AP
Network-wide
ObjectiveScale
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Summary of modeling results
Multi-level parametric modelling of wireless demand Network-wide models:
o Time-varying Poisson process for session arrivalso biPareto for in-session flow numbers & flow sizeso Lognormal for in-session flow interarrivals
Validation of models over two different periods
Same distributions apply for modeling at finer spatial scales building-level, groups of buildings with similar usage
Evaluation of scalability-accuracy tradeoff
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UNC/FORTH web archive
Online repository of models, tools, and traces Packet header, SNMP, SYSLOG, signal quality http://netserver.ics.forth.gr/datatraces/
Free login/ password to access it
Joint effort of Mobile Computing Groups @ FORTH & UNC