Hyman Huang 45f34156e4 guestperf: Introduce multifd compression option
Guestperf tool does not cover the multifd compression option
currently, it is worth supporting so that developers can
analysis the migration performance with different
compression algorithms.

Multifd support 4 compression algorithms currently:
zlib, zstd, qpl, uadk

To request that multifd with the specified compression
algorithm such as zlib:
$ ./tests/migration-stress/guestperf.py \
    --multifd --multifd-channels 4 --multifd-compression zlib \
    --output output.json

To run the entire standardized set of multifd compression
comparisons, with unix migration:
$ ./tests/migration-stress/guestperf-batch.py \
    --dst-host localhost --transport unix \
    --filter compr-multifd-compression* --output outputdir

Signed-off-by: Hyman Huang <yong.huang@smartx.com>
Reviewed-by: Daniel P. Berrangé <berrange@redhat.com>
Message-ID: <c0e3313d81e8130f8119ef4f242e4625886278cf.1739530098.git.yong.huang@smartx.com>
Signed-off-by: Fabiano Rosas <farosas@suse.de>
2025-02-14 15:19:07 -03:00

116 lines
4.3 KiB
Python

#
# Migration test scenario parameter description
#
# Copyright (c) 2016 Red Hat, Inc.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, see <http://www.gnu.org/licenses/>.
#
class Scenario(object):
def __init__(self, name,
downtime=500,
bandwidth=125000, # 1000 gig-e, effectively unlimited
max_iters=30,
max_time=300,
pause=False, pause_iters=5,
post_copy=False, post_copy_iters=5,
auto_converge=False, auto_converge_step=10,
compression_mt=False, compression_mt_threads=1,
compression_xbzrle=False, compression_xbzrle_cache=10,
multifd=False, multifd_channels=2, multifd_compression="",
dirty_limit=False, x_vcpu_dirty_limit_period=500,
vcpu_dirty_limit=1):
self._name = name
# General migration tunables
self._downtime = downtime # milliseconds
self._bandwidth = bandwidth # MiB per second
self._max_iters = max_iters
self._max_time = max_time # seconds
# Strategies for ensuring completion
self._pause = pause
self._pause_iters = pause_iters
self._post_copy = post_copy
self._post_copy_iters = post_copy_iters
self._auto_converge = auto_converge
self._auto_converge_step = auto_converge_step # percentage CPU time
self._compression_mt = compression_mt
self._compression_mt_threads = compression_mt_threads
self._compression_xbzrle = compression_xbzrle
self._compression_xbzrle_cache = compression_xbzrle_cache # percentage of guest RAM
self._multifd = multifd
self._multifd_channels = multifd_channels
self._multifd_compression = multifd_compression
self._dirty_limit = dirty_limit
self._x_vcpu_dirty_limit_period = x_vcpu_dirty_limit_period
self._vcpu_dirty_limit = vcpu_dirty_limit
def serialize(self):
return {
"name": self._name,
"downtime": self._downtime,
"bandwidth": self._bandwidth,
"max_iters": self._max_iters,
"max_time": self._max_time,
"pause": self._pause,
"pause_iters": self._pause_iters,
"post_copy": self._post_copy,
"post_copy_iters": self._post_copy_iters,
"auto_converge": self._auto_converge,
"auto_converge_step": self._auto_converge_step,
"compression_mt": self._compression_mt,
"compression_mt_threads": self._compression_mt_threads,
"compression_xbzrle": self._compression_xbzrle,
"compression_xbzrle_cache": self._compression_xbzrle_cache,
"multifd": self._multifd,
"multifd_channels": self._multifd_channels,
"multifd_compression": self._multifd_compression,
"dirty_limit": self._dirty_limit,
"x_vcpu_dirty_limit_period": self._x_vcpu_dirty_limit_period,
"vcpu_dirty_limit": self._vcpu_dirty_limit,
}
@classmethod
def deserialize(cls, data):
return cls(
data["name"],
data["downtime"],
data["bandwidth"],
data["max_iters"],
data["max_time"],
data["pause"],
data["pause_iters"],
data["post_copy"],
data["post_copy_iters"],
data["auto_converge"],
data["auto_converge_step"],
data["compression_mt"],
data["compression_mt_threads"],
data["compression_xbzrle"],
data["compression_xbzrle_cache"],
data["multifd"],
data["multifd_channels"],
data["multifd_compression"])