Data Networks¶
Bertsekas, D. P., & Gallager, R. G. (1992). Data Networks. Prentice Hall.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Statistical Multiplexing Admission Model
- Its strength is the statistical multiplexing gain: it lets a channel carry far more bursty streams than its raw capacity would suggest, turning idle time between one stream's bursts into capacity for another, all at a quantified and defensible risk.
This sourceBertsekas and Gallager show how statistical multiplexing lets bursty sources share link capacity efficiently while queueing analysis quantifies the associated delay and congestion risk.
- Its strength is the statistical multiplexing gain: it lets a channel carry far more bursty streams than its raw capacity would suggest, turning idle time between one stream's bursts into capacity for another, all at a quantified and defensible risk.
Verification¶
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