rfc1187.txt
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RFC 1187 Bulk Table Retrieval with the SNMP October 1990
as 1.5 times the largest observed round-trip time. If the timeout-
adjustment is greater than the current timeout, the current timeout
is set to the timeout-adjustment. Otherwise, the current timeout is
averaged with the timeout-adjustment.
Finally, if at least one thread did not receive a response, then the
thread is identified which has waited the longest. If the elapsed
time (with noise factor) since the last request (or retransmission)
is greater than the current timeout value, another retransmission is
attempted.
wait for events ()
{
backoff ::= TRUE, maxrtt ::= 0;
find the thread which has been waiting the longest
for a response;
timedelta = timeout
- time since request was sent for thread;
wait up to timedelta seconds or until some messages arrive;
if (least one message arrived) {
discard any messages which aren't responses;
foreach (response which corresponds to a thread) {
if (the response is a duplicate)
drop it and continue;
if (this response is for a message that was
not retransmitted) {
if (the round-trip time is larger than maxrtt)
set maxrtt to the new round-trip time;
if (round-trip time / number of active threads
< minimum previous round-trip time / number
of active threads) {
set new minimum round-trip time per number of
active threads
set new maximum number of threads
}
backoff ::= FALSE;
}
}
}
if (backoff)
double timeout;
elsif (maxrtt > 0) {
timeadjust ::= maxrtt * 3 / 2;
if (timeadjust > timeout)
timeout ::= timeadjust; backoff ::= TRUE;
else
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timeout ::= (timeout + timeadjust) / 2;
}
if (timeout exceeds some threshold)
set timeout to that threshold;
elsif (timeout is smaller than some threshold)
set timeout to that threshold;
if (at least one thread didn't receive a response) {
find the thread which has been waiting the longest
for a response,
and determine the elapsed time since a message
was sent;
if (the elapsed time with noise is greater than timeout) {
if (the number of retransmissions for this thread
exceeds a threshold)
abort the algorithm;
retransmit the request;
backoff ::= TRUE;
}
}
}
4.6. Finding the Median between two OIDs
The object identifier space is neither uniform nor continuous. As
such, it is not always possible to choose an object identifier which
is lexicographically-between two arbitrary object identifiers. In
view of this, the pipelined algorithm makes a best-effort attempt.
Starting from the beginning, each sub-identifier of the two OIDs is
scanned until a difference is encountered. At this point there are
several possible conditions:
(1) The upper OID has run out of sub-identifiers. In this
case, either the two OIDs are are identical or the lower
OID is greater than the upper OID (an interface error),
so no OID is returned.
(2) The lower OID has run out of sub-identifiers. In this
case, the first subsequent non-zero sub-identifier from
the upper OID is located. If no such sub-identifier is
found, then no OID exists between the lower and upper
OIDs, and no OID is returned. Otherwise, a copy of the
upper OID is made, but truncated at this non-zero
sub-identifier, which is subsequently halved, and the
resulting OID is returned.
(3) Otherwise, a copy of the lower OID is made, but truncated
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RFC 1187 Bulk Table Retrieval with the SNMP October 1990
at the point of difference. This last sub-identifier is
then set to the arithmetic mean of the difference. In
the case where the difference is only 1 (so the last
sub-identifier remains the same) then a new sub-
identifier is added, taking care to be larger than a
possible sub-identifier present in the lower OID.
Regardless, the resulting OID is returned.
oid_median (lower, upper)
OID lower,
upper;
{
for (i ::= 1; i < upper:nelem; i++) {
if (i > lower:nelem) {
while (upper:elems[i] == 0)
if (++i > upper:nelem)
return NULL;
median ::= copy of upper;
median:nelem ::= i;
median:elems[i] ::= upper:elems[i] / 2;
return median;
}
if (lower:elems[i] == upper:elems[i])
continue;
median ::= copy of lower;
median:nelem ::= i;
median:elems[i] ::= (lower:elems[i]+upper:elems[i])/2;
if (median:elems[i] == lower:elems[i]) {
median:nelem ::= (i + 1);
if (lower:nelem < i)
median:elems[median:nelem] ::= 127;
elsif ((x ::= lower:elems[i + 1]) >= 16383)
median:elems[median:nelem] ::= x + 16383;
elsif (x >= 4095)
median:elems[median:nelem] ::= x + 4095;
elsif (x >= 1023)
median:elems[median:nelem] ::= x + 1023;
elsif (x >= 255)
median:elems[median:nelem] ::= x + 255;
else median:elems[median:nelem] ::=
(x / 2) + 128;
}
return median;
}
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RFC 1187 Bulk Table Retrieval with the SNMP October 1990
return NULL;
}
4.7. Experience with the Pipelined Algorithm
This pipelined algorithm has been implemented and some
experimentation has been performed. It would be premature to provide
extensive performance figures at this time, as the pipelined
algorithm is still being tuned, and is implemented only in a
prototype setting. However, on tables of size O(2500), performance
of 121 entries/second has been observed. In contrast, the serial
algorithm has performance of roughly 56 entries/second for the same
table.
4.8. Dynamic Range of Timeout Values
It should be noted that the pipelined algorithm takes a simplistic
approach with the timeout value: it does not maintain a history of
the value and act accordingly.
For example, if the timeout reaches the maximum timeout limit, and
then latches for some period of time, this indicates a resource
(either the network or the agent) is saturated. Unfortunately, a
solution is difficult: an elegant approach would be to combine two
threads (but it is quite possible that no two consecutive threads
exist when this determination is made). Another approach might be to
delay the transmission for threads which are ready to issue a new
get-next operation.
Similarly, if the timeout drops to the minimum value and subsequently
latches, more threads should be started.
4.9. Incorrect Agent Implementations
An interesting result is that many agents do not properly implement
the powerful get-next operator. In particular, when a get-next
request contains an operand with an arbitrarily-generated suffix,
some agent implementations will handle this improperly, and
ultimately return a result which is lexicographically less than the
operand!
A typical cause of this is when the instance-identifier for a
columnar object is formed by a MAC or IP address, so each octet of
the address forms a sub-identifier of the instance-identifier. In
such circumstances, the incorrect agent implementations compare
against only the least significant octet of the sub-identifiers in
the operand, instead of the full value of the sub-identifiers.
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RFC 1187 Bulk Table Retrieval with the SNMP October 1990
Upon encountering such an interaction, the pipelined algorithm
implementation declares the thread dead (noting a possible gap in the
table), and continues.
5. The Parallel Algorithm
One interesting optimization is to view the problem in two steps: in
the first step, one column of the table is traversed to determine the
full range of instances identifiers meaningful in the table.
(Indeed, although as described above, the pipelined algorithm
retrieves a single column, the prototype implementation can retrieve
multiple columns). In the second step, additional columns can be
retrieved using the SNMP get operation, since the instance
identifiers are already known. Further, the manager can dynamically
determine how many variables can be placed in a single SNMP get
operation in order to minimize the number of requests. Of course,
since the agent's execution of the get operation is often less
expensive than execution of the powerful get-next operation, when
multiple columns are request, this two-step process requires less
execution time on the agent.
A second algorithm can be developed, the "parallel algorithm". At
present, each thread is mapped onto a single SNMP operation. A
powerful insight is to suggest mapping several threads onto a single
SNMP operation: the manager must dynamically determine how many
variables can be placed in a single powerful get-next operation.
This has the advantage of reducing traffic, at the expense of
requiring the agent to utilize more resources for each request.
Earlier it was noted that the serial retrieval of objects could be
viewed as a degenerate case of the pipelined algorithm, in which the
number of active threads was one. Similarly, the pipelined algorithm
is a special case of the parallel algorithm, in which the number of
threads per SNMP operation is one.
5.1. Experience with the Parallel Algorithm
The parallel algorithm has been implemented and some experimentation
has been performed. It would be premature to provide extensive
performance figures at this time, as the algorithm is still being
tuned, and is implemented only in a prototype setting. However, on
tables of size O(2500), performance of 320 entries/second has been
observed, a performance improvement of 571% over the serial
algorithm.
6. Acknowledgements
A lot of the ideas on pipelining are motivated by Van Jacobson's work
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RFC 1187 Bulk Table Retrieval with the SNMP October 1990
on adaptive timers in TCP. The parallelization modifications were
originally suggested by Jeffrey D. Case.
Finally, the comments of the following individual is acknowledged:
Frank Kastenholz, Racal-Interlan
7. References
[1] Case, J., Fedor, M., Schoffstall, M., and J. Davin, Simple
Network Management Protocol (SNMP), RFC 1157, SNMP Research,
Performance Systems International, Performance Systems
International, MIT Laboratory for Computer Science, May 1990.
Security Considerations
Security issues are not discussed in this memo.
Authors' Addresses
Marshall T. Rose
PSI, Inc.
PSI California Office
P.O. Box 391776
Mountain View, CA 94039
Phone: (415) 961-3380
EMail: mrose@PSI.COM
Keith McCloghrie
Hughes LAN Systems
1225 Charleston Road
Mountain View, CA 94043
Phone: (415) 966-7934
EMail: KZM@HLS.COM
James R. Davin
MIT Laboratory for Computer Science, NE43-507
545 Technology Square
Cambridge, MA 02139
Phone: (617) 253-6020
EMail: jrd@ptt.lcs.mit.edu
Rose, McCloghrie & Davin [Page 12]
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