UNC/FORTH Archive of Wireless Traces, Models and Tools 1 Foundation for Research & Technology-Hellas (FORTH) & University of Crete 2 University of North.

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UNC/FORTH Archive of Wireless Traces, Models and Tools 1 Foundation for Research & Technology-Hellas (FORTH) & University of Crete 2 University of North Carolina at Chapel Hill IBM Faculty Award, EU Marie Curie IRG, GSRT grants Prof. Maria Papadopouli 1,2

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

Wireless infrastructure Wired Network Wireless Network Router Internet User A AP 1 AP 2 AP3 Switch User B disconnection

Wireless infrastructure Wired Network Wireless Network Router Internet User A User B AP 1 AP 2 AP3 Switch roaming disconnection 1230 Flows Associations Packets

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

1230 Association Session Wired Network Wireless Network Router Internet User A User B AP 1 AP 2 AP3 Switch disconnection Flow time Events Arrivals t1 t2t3t7t6t5t4

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

Our parameters and models ParameterModelProbability Density Function Related Papers Association, session duration BiPareto EW' 06 Session arrival Time-varying Poisson with rate λ(t) N: # of sessions between t 1 and t 2 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 LognormalSame as above WICON '06 Flow number/session BiPareto WICON '06 Flow size BiParetoSame as above WICON '06 Client roaming between APs Markov-chain INFOCOM'04 Spatio-temporal phenomena in wireless Web access INFOCOM'04

Tradeoffs in spatio-temporal modeling AccuracyScalabilityAmenability to analysis Hourly AP    Network-wide    Objective Scale

Summary of modeling results Multi-level parametric modelling of wireless demand Network-wide models: o Time-varying Poisson process for session arrivals o biPareto for in-session flow numbers & flow sizes o 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

UNC/FORTH web archive  Online repository of models, tools, and traces  Packet header, SNMP, SYSLOG, signal quality  Free login/ password to access it Joint effort of Mobile Computing FORTH & UNC 