Some Applications Of Bandwidth Estimation Andrew Odlyzko - - PowerPoint PPT Presentation

some applications of bandwidth estimation
SMART_READER_LITE
LIVE PREVIEW

Some Applications Of Bandwidth Estimation Andrew Odlyzko - - PowerPoint PPT Presentation

University of Minnesota Some Applications Of Bandwidth Estimation Andrew Odlyzko http.//www.dtc.umn.edu/~odlyzko 1 University of Minnesota AO 12/04/03 University of Minnesota A depressing litany of duds among major recent networking


slide-1
SLIDE 1

University of Minnesota

1 AO 12/04/03

University of Minnesota

Andrew Odlyzko http.//www.dtc.umn.edu/~odlyzko

Some Applications Of Bandwidth Estimation

slide-2
SLIDE 2

University of Minnesota

2 AO 12/04/03

University of Minnesota

A depressing litany of duds among major recent networking research initiatives:

ATM RSVP Smart Markets Active Networks Multicasting Streaming Real Time Multimedia 3G and (largely encompassing all of these): QoS All technical successes, but failures in the marketplace

slide-3
SLIDE 3

University of Minnesota

3 AO 12/04/03

University of Minnesota

Telecom crash:

Technology rose to the challenge posed by unrealistic business plans made in willful ignorance of reality

slide-4
SLIDE 4

University of Minnesota

4 AO 12/04/03

University of Minnesota

Long distance fiber deployment: fiber miles growth of 5x Transmission capacity: DWDM advances of 100x Cumulative fiber capacity growth of around 500x Actual demand growth: around 4x Two fundamental mistakes:

(i) assume astronomical rate of growth for Internet traffic (ii) extrapolate that rate to the entire network

From year-end 1997 to year-end 2001 (U.S. only)

slide-5
SLIDE 5

University of Minnesota

5 AO 12/04/03

University of Minnesota

100% Internet 10% 40% Private line, ATM, FR 45% 10% Voice 45% Growth Rate Percent of total Bandwidth

Source: Coffman and Odlyzko, “The Size and Growth Rate of the Internet”, 1998

Bandwidth and growth rates of U.S. long distance networks, year-end 1997

slide-6
SLIDE 6

University of Minnesota

6 AO 12/04/03

University of Minnesota

Internet Growth Hype:

“… bandwidth … will be chronically scarce. Capacity actually creates demand in this business…bandwidth-centric names are good values at any price since nobody can predict the true demand caused by growth.”

  • - Jack Grubman, April 1988

“Over the past five years, Internet usage has doubled every three months.”

  • - Kevin Boyne, UUNET COO, Sept. 2000

“If you are not scared, you do not understand”

  • - Mike O’Dell, UUNET Chief Scientist, May 2000
slide-7
SLIDE 7

University of Minnesota

7 AO 12/04/03

University of Minnesota

Blatant implausibilities in Internet bubble stories

Mike O’Dell, May 2000 http://stanford-online.stanford.edu/optic/main.html Audio presentation: claimed consistent 10x annual growth Slides: domestic UUNET network: growth only 7x mid – 1997 5,281 OC12-miles mid – 1998 38,485 mid – 1999 268,794 Extrapolating back to mid-1994 using 10x annual rate: 5 OC12-miles ≈ 2,000 T1-miles ??????

slide-8
SLIDE 8

University of Minnesota

8 AO 12/04/03

University of Minnesota

SWITCH traffic and capacity across the Atlantic

slide-9
SLIDE 9

University of Minnesota

9 AO 12/04/03

University of Minnesota

To assure health of the networking industry and research enterprise, need better information about:

  • 1. Capacity
  • 2. Traffic
  • 3. Applications mix

The more information can be inferred from external

  • bservations, the more likely carriers will be to open

up.

slide-10
SLIDE 10

University of Minnesota

10 AO 12/04/03

University of Minnesota

Current effort at the Digital Technology Center:

Collection and analysis of publicly accessible

MRTG and RRD graphs

“Reverse engineering" of graphs to get

underlying data

slide-11
SLIDE 11

University of Minnesota

11 AO 12/04/03

University of Minnesota

2003-12-04-18:02:38 xxxxx 600.0 2003-12-04-17:44:10 xxxxx 600.0 2003-12-04-17:25:43 519.0 xxxxx 2003-12-04-17:07:15 516.0 600.0 2003-12-04-16:48:47 525.0 528.0 2003-12-04-16:30:20 525.0 600.0 2003-12-04-16:11:52 534.0 549.0 2003-12-04-15:53:24 549.0 600.0 2003-12-04-15:34:56 555.0 558.0

Reverse engineering of TORIX graphs:

slide-12
SLIDE 12

University of Minnesota

12 AO 12/04/03

University of Minnesota

Conclusion:

Indirect measurements of network capacity and utilization extremely desirable to build a healthy industry and research establishment.