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Link-Level Internet Structures
Scott Schremmer and Kevin Wampler
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Overview Structure of Internet not by chance
Economic factors influence structure Two areas of focus: Single ISP structure Multiple ISP structure
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Single ISP Simulation Focus on network topology Internet is a graph
Nodes: points of presence Population served Geographic location Edges: physical links Bandwidth capacity Need some economic information
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Link Cost Function of distance and capacity Two components
Cost of cable Cost of laying cable
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Bandwidth Cost Cost is per unit length cable
Linear in distance Multiple cables linear in bandwidth So single cable sublinear in bandwidth We choose
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Traffic Routing Assume shortest-hop
Distributed evenly amongst population Traffic between n1 and n2:
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Calculating Load Sum of traffic across link For each node:
Compute shortest-hop routes For each target node: Add traffic to load on all links on route If load exceeds capacity, excess is overload
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Generating Networks Incremental Growth Global optimization
Likely a reasonable model Mimics and ISP adding new POPs Growth of ISP matters Global optimization Entire network planned in advance
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Incremental Growth Model
Investigated by Barabasi and Albert Link probability proportional to degree Yields power degree distribution Applicability is unclear Suboptimal links chosen too often No direct economic incentive
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A Better Model New nodes added randomly Optimal link always chosen
Provisioned so no overload Topology depends on “optimal” Cost of new link Cost of new and replaced links Overprovisioning
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Cost Of New Link Light tailed
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Replaced Links Very heavy tailed
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Overprovisioning Close to power distribution
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Global Optimization Optimize entire network Growth does not matter
Need objective function Minimize cost while providing good service Depends on weighting
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Generating A Network Initially Random Use Simulated Annealing
Add a link Remove a link Grow a link Shrink a link
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Cost/Service Emphasis
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Degree Distributions
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Single ISP Conclusions
Topologies similar to reality from: Minimizing load/link replacement with overprovisioning Overconnection to improve service
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Extension to Multiple ISP’s
Consider that ISPs do not grow in a vacuum How does model change with introduction of more ISP’s Link level structures Economic Choices Router distributions and routing choices
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Specifics of simulation
Simulated annealing 2 ISP annealed separately Some number of iterations with one Pass shared parameters (inter-isp traffic) Recalculate parameters for annealing separately Routing-2 models Small ISP lets large ISP route to cities it doesn’t cover Small ISP routes to its border
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2 Internets. . .
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Future work Consider evolving model
If an isp is providing better service or has lower cost increase its market share Structures that result Conditions for isp to survive Stable? Anneal together cooperatively, how different are structures Add nodes to small network to simulate growth
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