v6:
- Rebase changes on top of 4ea7e9cd882f1574c129d67431784fecc426d23b
- Address comments, typos, and styling issues
- Re-factor QAT setup()/cleanup() logic
v5:
- Rebase changes on top of 59084feb256c617063e0dbe7e64821ae8852d7cf
- Add documentations about migration with qatzip accerlation
- Remove multifd-qatzip-sw-fallback option
v4:
- Rebase changes on top of 1a2d52c7fcaeaaf4f2fe8d4d5183dccaeab67768
- Move the IOV initialization to qatzip implementation
- Only use qatzip to compress normal pages
v3:
- Rebase changes on top of master
- Merge two patches per Fabiano Rosas's comment
- Add versions into comments and documentations
v2:
- Rebase changes on top of recent multifd code changes.
- Use QATzip API 'qzMalloc' and 'qzFree' to allocate QAT buffers.
- Remove parameter tuning and use QATzip's defaults for better
performance.
- Add parameter to enable QAT software fallback.
v1:
https://lists.nongnu.org/archive/html/qemu-devel/2023-12/msg03761.html
* Performance
We present updated performance results. For circumstantial reasons, v1
presented performance on a low-bandwidth (1Gbps) network.
Here, we present updated results with a similar setup as before but with
two main differences:
1. Our machines have a ~50Gbps connection, tested using 'iperf3'.
2. We had a bug in our memory allocation causing us to only use ~1/2 of
the VM's RAM. Now we properly allocate and fill nearly all of the VM's
RAM.
Thus, the test setup is as follows:
We perform multifd live migration over TCP using a VM with 64GB memory.
We prepare the machine's memory by powering it on, allocating a large
amount of memory (60GB) as a single buffer, and filling the buffer with
the repeated contents of the Silesia corpus[0]. This is in lieu of a more
realistic memory snapshot, which proved troublesome to acquire.
We analyze CPU usage by averaging the output of 'top' every second
during migration. This is admittedly imprecise, but we feel that it
accurately portrays the different degrees of CPU usage of varying
compression methods.
We present the latency, throughput, and CPU usage results for all of the
compression methods, with varying numbers of multifd threads (4, 8, and
16).
[0] The Silesia corpus can be accessed here:
https://sun.aei.polsl.pl//~sdeor/index.php?page=silesia
** Results
4 multifd threads:
|---------------|---------------|----------------|---------|---------|
|method |time(sec) |throughput(mbps)|send cpu%|recv cpu%|
|---------------|---------------|----------------|---------|---------|
|qatzip | 23.13 | 8749.94 |117.50 |186.49 |
|---------------|---------------|----------------|---------|---------|
|zlib |254.35 | 771.87 |388.20 |144.40 |
|---------------|---------------|----------------|---------|---------|
|zstd | 54.52 | 3442.59 |414.59 |149.77 |
|---------------|---------------|----------------|---------|---------|
|none | 12.45 |43739.60 |159.71 |204.96 |
|---------------|---------------|----------------|---------|---------|
8 multifd threads:
|---------------|---------------|----------------|---------|---------|
|method |time(sec) |throughput(mbps)|send cpu%|recv cpu%|
|---------------|---------------|----------------|---------|---------|
|qatzip | 16.91 |12306.52 |186.37 |391.84 |
|---------------|---------------|----------------|---------|---------|
|zlib |130.11 | 1508.89 |753.86 |289.35 |
|---------------|---------------|----------------|---------|---------|
|zstd | 27.57 | 6823.23 |786.83 |303.80 |
|---------------|---------------|----------------|---------|---------|
|none | 11.82 |46072.63 |163.74 |238.56 |
|---------------|---------------|----------------|---------|---------|
16 multifd threads:
|---------------|---------------|----------------|---------|---------|
|method |time(sec) |throughput(mbps)|send cpu%|recv cpu%|
|---------------|---------------|----------------|---------|---------|
|qatzip |18.64 |11044.52 | 573.61 |437.65 |
|---------------|---------------|----------------|---------|---------|
|zlib |66.43 | 2955.79 |1469.68 |567.47 |
|---------------|---------------|----------------|---------|---------|
|zstd |14.17 |13290.66 |1504.08 |615.33 |
|---------------|---------------|----------------|---------|---------|
|none |16.82 |32363.26 | 180.74 |217.17 |
|---------------|---------------|----------------|---------|---------|
** Observations
- In general, not using compression outperforms using compression in a
non-network-bound environment.
- 'qatzip' outperforms other compression workers with 4 and 8 workers,
achieving a ~91% latency reduction over 'zlib' with 4 workers, and a
~58% latency reduction over 'zstd' with 4 workers.
- 'qatzip' maintains comparable performance with 'zstd' at 16 workers,
showing a ~32% increase in latency. This performance difference
becomes more noticeable with more workers, as CPU compression is highly
parallelizable.
- 'qatzip' compression uses considerably less CPU than other compression
methods. At 8 workers, 'qatzip' demonstrates a ~75% reduction in
compression CPU usage compared to 'zstd' and 'zlib'.
- 'qatzip' decompression CPU usage is less impressive, and is even
slightly worse than 'zstd' and 'zlib' CPU usage at 4 and 16 workers.
Bryan Zhang (4):
meson: Introduce 'qatzip' feature to the build system
migration: Add migration parameters for QATzip
migration: Introduce 'qatzip' compression method
tests/migration: Add integration test for 'qatzip' compression method
Yuan Liu (1):
docs/migration: add qatzip compression feature
docs/devel/migration/features.rst | 1 +
docs/devel/migration/qatzip-compression.rst | 251 +++++++++++++
hw/core/qdev-properties-system.c | 2 +-
meson.build | 10 +
meson_options.txt | 2 +
migration/meson.build | 1 +
migration/migration-hmp-cmds.c | 4 +
migration/multifd-qatzip.c | 382 ++++++++++++++++++++
migration/multifd.h | 5 +-
migration/options.c | 34 ++
migration/options.h | 1 +
qapi/migration.json | 21 ++
scripts/meson-buildoptions.sh | 3 +
tests/qtest/meson.build | 4 +
tests/qtest/migration-test.c | 31 ++
15 files changed, 749 insertions(+), 3 deletions(-)
create mode 100644 docs/devel/migration/qatzip-compression.rst
create mode 100644 migration/multifd-qatzip.c
--
Yichen Wang