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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.

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Presentation on theme: "UNC/FORTH Archive of Wireless Traces, Models and Tools 1 Foundation for Research & Technology-Hellas (FORTH) & University of Crete 2 University of North."— Presentation transcript:

1 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

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

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

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

5 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

6 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

7 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

8 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

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

10 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

11 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  maria@csd.uoc.gr

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