On Sun, 30 Sep 2012 19:40:49 +0200If you mean people upset for the degradation of the service quality (which should however be hard to perceive in most practical applications), then the following solution could address this issue. It was the my first idea, before I decided not to change the interface at all.
Paolo Valente <paolo.valente@xxxxxxxxxx> wrote:
Hi,I like the improvement and the performance improvement.
this patch turns QFQ into QFQ+, a faster variant of QFQ that groups
classes into aggregates, and uses the original QFQ scheduling
algorithm to schedule aggregates instead of single classes. An
aggregate is made of at most M classes, all with the same weight and
maximum packet size. M is equal to the minimum between tx_queue_len+1
and 8 (value chosen to get a good trade-off between execution time and
service guarantees). QFQ+ associates each aggregate with a budget
equal to the maximum packet size for the classes in the aggregate,
multiplied by the number of classes of the aggregate. Once selected an
aggregate for service, QFQ+ dequeues only the packets of its classes,
until the aggregate finishes its budget. Finally, within an aggregate,
classes are scheduled with DRR. In my tests, described below, the
execution time of QFQ+ with M=8 was from 16% to 31% lower than that of
QFQ, and close to that of DRR.
QFQ+ does not use packet lengths for computing aggregate timestamps,
but budgets. Hence it does not need to modify any timestamp if the
head packet of a class changes. As a consequence, differently from
QFQ, which uses head-packet lengths to compute class timestamps, QFQ+
does not need further modifications to correctly schedule also
non-leaf classes and classes with non-FIFO qdiscs. Finally, QFQ+ is
more robust than QFQ against corruption of the data structures
implementing the bucket lists. A detailed description of QFQ+ can be
found in [1].
As for service guarantees, thanks to the way how M is computed, the
service of QFQ+ is close to the one of QFQ. For example, as proved in
[1], under QFQ+ every packet of a given class is guaranteed the same
worst-case completion time as under QFQ, plus an additional delay
equal to the transmission time, at the rate reserved to the class, of
three maximum-size packet. See [1, Section 7.1] for a numerical
comparison among the packet delays guaranteed by QFQ+, QFQ and DRR.
I measured the execution time of QFQ+, DRR and QFQ using the testing
environment [2]. In particular, for each scheduler I measured the
average total execution time of a packet enqueue plus a packet
dequeue. For practical reasons, in this testing environment each
enqueue&dequeue is also charged for the cost of generating and
discarding an empty, fixed-size packet (using a free list). The
following table reports the results with an i7-2760QM, against four
different class sets. Time is measured in nanoseconds, while each set
or subset of classes is denoted as <num_classes>-w<weight>, where
<num_classes> and <weight> are, respectively, the number of classes
and the weight of every class in the set/subset (for example, 250-w1
stands for 250 classes with weight 1). For QFQ+, the table shows the
results for the two extremes for M: 1 and 8 (see [1, Section 7.2] for
results with other values of M and for more information).
-----------------------------------------------
| Set of | QFQ+ (M) | DRR QFQ |
| classes | 1 8 | |
|-----------------------------------------------|
| 1k-w1 | 89 63 | 56 81 |
|-----------------------------------------------|
| 500-w1, | | |
| 250-w2, | 102 71 | 87 103 |
| 250-w4 | | |
|-----------------------------------------------|
| 32k-w1 | 267 225 | 173 257 |
|-----------------------------------------------|
| 16k-w1, | | |
| 8k-w2, | 253 187 | 252 257 |
| 8k-w4 | | |
-----------------------------------------------
About DRR, it achieves its best performance when all the classes have
the same weight. This is fortunate, because in such scenarios it is
actually pointless to use a fair-queueing scheduler, as the latter
would provide the same quality of service as DRR. In contrast, when
classes have differentiated weights and the better service properties
of QFQ+ make a difference, QFQ+ has better performance than DRR. It
happens mainly because QFQ+ dequeues packets in an order that causes
about 8% less cache misses than DRR. As for the number of
instructions, QFQ+ executes instead about 7% more instructions than
DRR, whereas QFQ executes from 25% to 34% more instructions than DRR.
Paolo
[1] P. Valente, "Reducing the Execution Time of Fair-Queueing Schedulers"
http://algo.ing.unimo.it/people/paolo/agg-sched/agg-sched.pdf
[2] http://algo.ing.unimo.it/people/paolo/agg-sched/test-env.tgz
Signed-off-by: Paolo Valente <paolo.valente@xxxxxxxxxx>
Is there some concern that changing the implementation this much might
upset some people already using QFQ?
What happens if an existing working QFQ config is used in QFQ+?