incite: traffic processing techniques for network inference and control effort 1: chirp probing...
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INCITE: Traffic Processing Techniques for Network Inference and Control Effort 2: Connection level analysis Objective : Understand the causes of Traffic Burstiness Overall traffic :Residual traffic : 1 Strongest connection per time window = + Innovative Ideas: Traffic separation into - dominant “alpha connections” and - residual “beta” background trafficTRANSCRIPT
Effort 1: Chirp Probing
Objective: Reduced complexity, multiscale link models with known accuracy
Innovative Ideas Multifractal analysis Multiplicative modeling Multiscale queuing Chirps for probing
Rice University. INCITE. Baraniuk, Riedi, Nowak, Knightly
Chirp Probing: Impact Congestion control Workload balancing at servers Dynamical streaming Pricing on connection basis
New Ideas Probing multiple hops Probing buffer at core router
Technical transfer Stanford (SLAC) Los Alamos (LANL) Sprint Labs
Effort 2: Connection level analysis
Objective:Understand the causes of Traffic Burstiness
Overall traffic :Residual traffic: 1 Strongest connection per time window
= +
Innovative Ideas:Traffic separation into - dominant “alpha connections” and - residual “beta” background traffic
Connection level analysis. New results
• Alpha traffic: – few (1%) connections, small (3%) load– Responsible for all non-Gaussian burstiness
• Beta traffic:– Gaussian, rules LRD
• Origins / physical explanation:– Alpha = High bandwidth + large load– Beta = Limited bandwidth traffic
Connection level analysis• Impact of alpha-beta model:
– Queuing: large delays caused by few alpha connections
– Simulation: bandwidth variability for realism• Future work:
– Mathematical modeling of alpha traffic– New queuing theory– New control mechanisms
• Technical risk:– Realism of simulation, modeling and analysis– Effectiveness of control of bursty traffic