Selfish DTN capacity Experimental estimation

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Presentation transcript:

Selfish DTN capacity Experimental estimation Dagstuhl Seminar DTN II February 2009 Joint work of PU Tournoux, V. Conan, J. Crowcroft, J. Leguay, F. Benbadis, M De Amorim 1

DTN performance Measured in terms of packet delivery ratio, packet delay for non-congested networks Performance is limited by: Storage constraints Transmission constraints Node selfishness 2

The problem For a given traffic pattern, what is the maximum total demand that can be achieved before the network becomes saturated, either in link capacity or in storage capacity? 3

Capacity estimation Use traces of node contacts as input Consider fixed demands One demand = transfer x Kbits from node s to node d injected at time t Traffic is routed at Wardrop equilibrium Increase x for all demands Stop when storage/trans mission overload increases faster than load 4

Wardrop equilibrium The journey times (or costs) in all routes actually used are equal and less than those which would be experienced by a single vehicle (or message) on any unused route. For additive and separable positive and continuous cost functions the Wardrop equilibrium is a convex minimization problem. The equilibrium is unique, and may be obtained by running the Frank-Wolfe algorithm 5

Time Discretized Graph 6

Example Transmission capacities of connections 7

Fastest route Delay is costly: the fastest route is chosen Weight on delay = 1 Weight on transmission cost = 1 Delay is costly: the fastest route is chosen 8

Costly transmissions Weight on delay = 1 Weight on transmission cost = 30 Increasing transmission cost forces usage of slower routes 9

More delay Weight on delay << 1 Weight on transmission cost = 30 Allowing for more delay forces usage of even more slow routes 10

Infocom data set Capacity increases with delay tolerance Weight on delay 0.1 0.0001 1 0.5 Capacity increases with delay tolerance 11

Conclusions Delay-tolerance helps increase capacity. Routing protocols should be multi-dimensional. Selfishness makes network engineering challenging. 12