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Diffusion approximations for models of congestion control in high-speed networks
Atanu Das,
R. Srikant
Electrical and Computer Engineering
Coordinated Science Lab
Office of the Vice Chancellor for Research and Innovation
Siebel School of Computing and Data Science
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peer-review
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Keyphrases
Steady-state Distribution
100%
Diffusion Approximation
100%
High-speed Networks
100%
Congestion Control
100%
Arrival Process
100%
Coefficient of Variation
50%
Resource Allocation
50%
Truncated Gaussian Distribution
50%
Renewal Process
50%
Poisson
50%
Performance Measures
50%
Phase Coding
50%
Congestion
50%
Number of Sources
50%
Service Time
50%
Bottleneck Node
50%
Service Time Distribution
50%
Transfer Probability
50%
Best Effort Traffic
50%
Truncated Exponential Distribution
50%
File Transfer Time
50%
Mathematics
Diffusion Approximation
100%
Arrival Process
100%
State Distribution
100%
Probability Theory
50%
Gaussian Distribution
50%
Simple Model
50%
Performance Measure
50%
Exponential Distribution
50%
Service Time
50%
Renewal Process
50%
Service Time Distribution
50%