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kaf24@firebug.cl.cam.ac.uk
e4287d87ae
The primary purpose of this patch is to add support for non-polling
access to the xen trace buffers. The hypervisor changes have already
been accepted.
Also included are a few bug fixes and some minor new features:
1. If xenmon is run without first allocating trace buffers (via
'setsize') and enabling them (via 'tbctl'), then this is done
automatically using sensible defaults.
2. There was a bug that caused the first second's worth of data output
from xenmon to be erroneous; This has been fixed.
3. There was a bug that caused xenmon to sometimes not display data for
newly created domains; This has also been fixed.
4. The xenmon display has a 'heartbeat' which flickers once per second.
This is to show that xenmon is still alive, even though the display
isn't changing at all, a situation that can happen sometimes when there
is nothing at all happening on a particular cpu.
5. Added cpu utilization display to the top of the xenmon window.
6. Added a bunch of options in xenmon to control exactly which metrics
are displayed, so the screen doesn't get cluttered with stuff you're not
interested in. The new options are:
--allocated
--noallocated
--blocked
--noblocked
--waited
--nowaited
--excount
--noexcount
--iocount
--noiocount
7. Added an option ("--cpu=N") to xenmon to specify which physical cpu
you'd like data displayed for.
8. Updated the README with information about default trace buffer size, etc.
Signed-off-by: Rob Gardner <rob.gardner@hp.com>
115 lines
4.8 KiB
Plaintext
115 lines
4.8 KiB
Plaintext
Xen Performance Monitor
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-----------------------
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The xenmon tools make use of the existing xen tracing feature to provide fine
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grained reporting of various domain related metrics. It should be stressed that
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the xenmon.py script included here is just an example of the data that may be
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displayed. The xenbake demon keeps a large amount of history in a shared memory
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area that may be accessed by tools such as xenmon.
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For each domain, xenmon reports various metrics. One part of the display is a
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group of metrics that have been accumulated over the last second, while another
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part of the display shows data measured over 10 seconds. Other measurement
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intervals are possible, but we have just chosen 1s and 10s as an example.
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Execution Count
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---------------
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o The number of times that a domain was scheduled to run (ie, dispatched) over
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the measurement interval
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CPU usage
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---------
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o Total time used over the measurement interval
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o Usage expressed as a percentage of the measurement interval
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o Average cpu time used during each execution of the domain
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Waiting time
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------------
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This is how much time the domain spent waiting to run, or put another way, the
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amount of time the domain spent in the "runnable" state (or on the run queue)
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but not actually running. Xenmon displays:
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o Total time waiting over the measurement interval
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o Wait time expressed as a percentage of the measurement interval
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o Average waiting time for each execution of the domain
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Blocked time
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------------
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This is how much time the domain spent blocked (or sleeping); Put another way,
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the amount of time the domain spent not needing/wanting the cpu because it was
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waiting for some event (ie, I/O). Xenmon reports:
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o Total time blocked over the measurement interval
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o Blocked time expressed as a percentage of the measurement interval
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o Blocked time per I/O (see I/O count below)
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Allocation time
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---------------
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This is how much cpu time was allocated to the domain by the scheduler; This is
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distinct from cpu usage since the "time slice" given to a domain is frequently
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cut short for one reason or another, ie, the domain requests I/O and blocks.
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Xenmon reports:
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o Average allocation time per execution (ie, time slice)
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o Min and Max allocation times
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I/O Count
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---------
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This is a rough measure of I/O requested by the domain. The number of page
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exchanges (or page "flips") between the domain and dom0 are counted. The
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number of pages exchanged may not accurately reflect the number of bytes
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transferred to/from a domain due to partial pages being used by the network
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protocols, etc. But it does give a good sense of the magnitude of I/O being
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requested by a domain. Xenmon reports:
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o Total number of page exchanges during the measurement interval
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o Average number of page exchanges per execution of the domain
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Usage Notes and issues
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----------------------
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- Start xenmon by simply running xenmon.py; The xenbake demon is started and
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stopped automatically by xenmon.
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- To see the various options for xenmon, run xenmon -h. Ditto for xenbaked.
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- xenmon also has an option (-n) to output log data to a file instead of the
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curses interface.
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- NDOMAINS is defined to be 32, but can be changed by recompiling xenbaked
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- Xenmon.py appears to create 1-2% cpu overhead; Part of this is just the
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overhead of the python interpreter. Part of it may be the number of trace
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records being generated. The number of trace records generated can be
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limited by setting the trace mask (with a dom0 Op), which controls which
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events cause a trace record to be emitted.
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- To exit xenmon, type 'q'
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- To cycle the display to other physical cpu's, type 'c'
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- The first time xenmon is run, it attempts to allocate xen trace buffers
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using a default size. If you wish to use a non-default value for the
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trace buffer size, run the 'setsize' program (located in tools/xentrace)
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and specify the number of memory pages as a parameter. The default is 20.
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- Not well tested with domains using more than 1 virtual cpu
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- If you create a lot of domains, or repeatedly kill a domain and restart it,
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and the domain id's get to be bigger than NDOMAINS, then xenmon behaves badly.
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This is a bug that is due to xenbaked's treatment of domain id's vs. domain
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indices in a data array. Will be fixed in a future release; Workaround:
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Increase NDOMAINS in xenbaked and rebuild.
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Future Work
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-----------
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o RPC interface to allow external entities to programmatically access processed data
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o I/O Count batching to reduce number of trace records generated
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Case Study
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----------
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We have written a case study which demonstrates some of the usefulness of
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this tool and the metrics reported. It is available at:
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http://www.hpl.hp.com/techreports/2005/HPL-2005-187.html
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Authors
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-------
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Diwaker Gupta <diwaker.gupta@hp.com>
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Rob Gardner <rob.gardner@hp.com>
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Lucy Cherkasova <lucy.cherkasova.hp.com>
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