Top 50 unstable DVMRP routes

[Bill Fenner <]

Dear MBone and MBone-EU-OP mailing lists,

  Enclosed is the list of this week's worst DVMRP flappers.
Please see the end of this message for more information.

     AS #srcs  #down(%)  #flapping Route               Rank avg.flaps/hour
------- ----- ---------- --------- ------------------- ---- --------------
   1747	  315   73(23%)   273(86%) 9.2.123/24          47     28
     16	   28    2(7%)     27(96%) 128.3/16            50     28
   1347	  457  251(54%)   420(91%) 128.162.154.5/32    34     31
     17	   20    0(0%)     20(100%)128.210/16          26     33
   2150	   34   20(58%)    18(52%) 132.241.60.64/28    13     41
   1717	 3329 3212(96%)  3294(98%) 138.96.24/21        37     30
     -1	  777  406(52%)   476(61%) 146.190/16          21     36
   2506	   11    4(36%)     8(72%) 150.32/16           9      46
   6744	  126   52(41%)    89(70%) 150.140.31.46/32    20     36
    766	  542  405(74%)   161(29%) 156.35.91/24        15     40
    701	  396  326(82%)    95(23%) 158.101.118/24      8      58
   2042	    5    2(40%)     4(80%) 161.142/16          28     32
    762	   69   32(46%)    47(68%) 192.32.30.160/28    7      64
   1324	   48    0(0%)     48(100%)192.77.166/24       44     29
   3905	   14    1(7%)     13(92%) 192.100.183/24      12     42
   2901	   81    3(3%)     80(98%) 192.132.89/24       18     37
   1225	  117   12(10%)   107(91%) 192.138.89/24       11     42
      0	   90   52(57%)    56(62%) 192.168.0/24        1     118
   1241	   73   72(98%)    45(61%) 193.92.232/22       17     38
   2871	   82    5(6%)     82(100%)193.103.133/24      39     29
   1741	  379   77(20%)   325(85%) 193.167.224/20      29     32
   1275	  904  533(58%)   718(79%) 193.174.34/24       16     38
   3269	    7    7(100%)    3(42%) 194.184.164/24      36     30
   3352	    7    4(57%)     3(42%) 195.55.11/24        23     34
   1326	   30    1(3%)     29(96%) 198.80.147/24       30     32
   3899	    1    1(100%)    1(100%)198.189.66/24       6      70
   3149	   61    2(3%)     60(98%) 199.33.229/24       27     32
   1691	   68   50(73%)    19(27%) 199.60.252/24       24     34
   2637	   40   12(30%)    33(82%) 199.77.192/24       46     28
   3421	   10    0(0%)     10(100%)199.177.0/24        22     35
   6342	   18   12(66%)     8(44%) 200.23.217/24       33     31
   3388	   25    0(0%)     25(100%)204.69.153/24       40     29
    145	  100   16(16%)    86(86%) 204.147.131.228/30  31     32
   1677	    1    0(0%)      1(100%)204.149.85/24       38     29
   3915	   39   22(56%)    21(53%) 204.182.44/24       49     28
   1239	  210  183(87%)    37(17%) 205.166.205/24      42     29
    577	   16   13(81%)     8(50%) 205.189.33/24       45     28
   2381	   21    9(42%)    17(80%) 205.213.126/24      48     28
   6453	   26   25(96%)    26(100%)206.48.0/22         25     34
   2493	  157  156(99%)     3(1%)  206.75.91/24        43     29
   6296	    2    0(0%)      2(100%)206.101.72.0/28     32     31
   5754	   11    2(18%)    10(90%) 206.127.228/22      5      75
   3804	   32   31(96%)     3(9%)  206.172.49/24       41     29
   5646	   21   20(95%)    19(90%) 207.7.18/23         10     46
   1673	  114    4(3%)    110(96%) 207.24.222/24       35     30
   3967	  668  319(47%)   658(98%) 207.82/16           3     108
   3701	    3    1(33%)     3(100%)207.98.64/18        14     40
   7260	    2    1(50%)     1(50%) 207.170.6/24        19     37
   6402	   40   32(80%)    39(97%) 208.200.172/24      4      91
   6461	  160   22(13%)   145(90%) 209.133.0/18        2     113


  UCLA and PARC are engaged in MBone monitoring and
measurement.  One of the major problems with the current DVMRP
MBone is route instability.  Most of the instability appears to
be caused by pathologies as opposed to real link or router
instability.  DVMRP does not handle instability well, so it's to
everyone's benefit to eliminate these pathologies.  This
periodic message is meant to point out the routes that appear
unstable in the hopes that the cause of the instability will be
corrected.

  More information on the data collection is available from

	http://ganef.cs.ucla.edu/~masseyd/Route/

  More information on the known bugs which cause instability
is available from

	http://ganef.cs.ucla.edu/~masseyd/Route/bugs.html

  We are still experimenting with the best format in which to
present this information.  We're currently grouping routes
by unicast AS number, and only reporting the worst offender
in a given AS.  Other unstable routes in the same AS can be
found by referring to the "AS Number Search" from the search
menu of the above web page, or by looking at this week's or
this month's current data on the web page.

  The fields in the following table are:
AS:
	The AS number associated with the source in the unicast
	routing table.  This may be the route's source, or may be
	the route's source's unicast provider, who may or may not
	be their multicast provider.
#sources:
	The number of sources in the DVMRP routing table associated
	with this AS.
#down:
	The number of above sources whose DVMRP routes are currently
	considered down.
#flapping:
	The number of above sources whose DVMRP routes are experiencing
	routing instability during this period.
Route:
	The most unstable route in the AS over the measurement period.
Rank:
	The rank (by flaps/hour) of this route in the top AS's.
flaps/hour:
	The average flaps-per-hour of the most unstable route.
	A stable route never flaps; if a link goes down and
	comes back up routes related to it might flap once or
	twice.  A route which flaps, on average, more than once
	per hour over a week's time, is clearly either behind a
	link that goes up and down about once an hour (which
	deserves to be investigated) or is experiencing a
	pathology like those listed on the above-referenced bugs
	page (which deserves to be investigated).

  The table lists the 50 worst AS's, sorted by the IP address of the
most unstable route in the AS, with an additional rank by most unstable
route in the AS.  This data is from a single point of view at
UCLA; the data is of course colored by its collection point.  In
particular, network problems close to the collection point can
raise the perceived instability for a large number of sources.
However, we believe that averaging over the week lessens these
effects greatly, so although there may be occasional blips, in
general if you're in this table, you should try to find out
why.