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Lecture 22: Sliding window analysis, Little's law

Lecture 22: Sliding window analysis, Little's law

Update: 2014-03-06

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This lecture continues with an analysis of sliding window protocol and how it handles packet loss. Little's Law is introduced to relate the average number of packets to the average service rate and average delay of a stable system.

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Lecture 24: History of the Internet cont'd, course summary

Lecture 24: History of the Internet cont'd, course summary

2014-03-0651:11

Lecture 19: Network routing (without failures)

Lecture 19: Network routing (without failures)

2014-03-0642:56

Lecture 21: Reliable transport

Lecture 21: Reliable transport

2014-03-0650:08

Lecture 22: Sliding window analysis, Little's law

Lecture 22: Sliding window analysis, Little's law

2014-03-0653:26

Lecture 23: A brief history of the Internet

Lecture 23: A brief history of the Internet

2014-03-0651:15

Lecture 20: Network routing (with failures)

Lecture 20: Network routing (with failures)

2014-03-0651:08

Lecture 18: MAC protocols

Lecture 18: MAC protocols

2014-03-0653:39

Lecture 17: Packet switching

Lecture 17: Packet switching

2014-03-0650:08

Lecture 15: Modulation/demodulation

Lecture 15: Modulation/demodulation

2014-03-0652:02

Lecture 16: More on modulation/demodulation

Lecture 16: More on modulation/demodulation

2014-03-0647:43

Lecture 14: Spectral representation of signals

Lecture 14: Spectral representation of signals

2014-03-0649:13

Lecture 12: Filters and composition

Lecture 12: Filters and composition

2014-03-0651:04

Lecture 13: Frequency response of LTI systems

Lecture 13: Frequency response of LTI systems

2014-03-0649:39

Lecture 11: LTI channel and intersymbol interference

Lecture 11: LTI channel and intersymbol interference

2014-03-0648:16

Lecture 10: Linear time-invariant (LTI) systems

Lecture 10: Linear time-invariant (LTI) systems

2014-03-0650:29

Lecture 9: Transmitting on a physical channel

Lecture 9: Transmitting on a physical channel

2014-03-0648:44

Lecture 8: Noise

Lecture 8: Noise

2014-03-0650:36

Lecture 6: Convolutional codes

Lecture 6: Convolutional codes

2014-03-0649:23

Lecture 7: Viterbi decoding

Lecture 7: Viterbi decoding

2014-03-0649:22

Lecture 4: Linear block codes, parity relations

Lecture 4: Linear block codes, parity relations

2014-03-0649:59

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Lecture 22: Sliding window analysis, Little's law

Lecture 22: Sliding window analysis, Little's law

Hari Balakrishnan