I am doing a project on a centralized LAN management system. I need to know how many CPU cycles is each process of a remote PC consuming(as in a Task Manager )so that the network admin can close few processes,in case the CPU utilization of a system in network goes beyond acceptable rates..
I would like to know if there is a Win32 API for this requirement of mine n if so ,i request you to give me information about it..
thank you in advance..
Win32 API has lots of functions to find all kinds of information about currently running processes and threads, here's a link to the full list of them: http://msdn.microsoft.com/en-us/library/ms683223(VS.85).aspx
Explore the list and you should be able to find the function(s) there that meet your requirements, for example GetProcessTimes() returns structures that contain the amounts of time the process has executed in kernel mode, in user mode, etc.
You need to look at the performance monitor system. You can get the stats from there (in the Process counter).
Here's a (delphi) explanation of it, that's pretty good and simple to understand.
When you understand how it all works, you then need the Performance Counters API to read the data counters.
Related
The CPU usage of non-RT cores is available in MDP (either over ADS or UA), but I'm unable to find any way to get the CPU usage of isolated cores from user land (i.e. Windows).
I feel like there should be an easy way to read this since TcXaeShell is able to display the RT core usage in a chart.
Does anyone know how to do this, or, as a last resort, how to sniff out the protocol that TcXaeShell is using to get this info?
UPDATE: Thanks to the insight from the comments below that the TC_CpuUsage FB is just using ADS reads in the background, I was able to find the ADS parameters I needed inside the TC_CpuUsage FB:
At first I had missed the detail that the AMS port should be that of the TwinCAT Real Time Server (200), and not that of the runtime port (default 851), so I was getting an ADS error. Once I changed the port, I was able to get the CPU usage of RT cores over ADS in my .NET application.
Isn't TC_CpuUsage function block what you are looking for? If you wish to get CPU usage of more than 1 core, you need to run an instance of this FB in each program that is assigned to task from each core.
Mirth Connect is a software that is designed to handle a message flow and it has built-in support to handle HL7 messages in particular and therefore this software is widely used for interfacing in Healthcare applications. Over the years I have seen the Mirth software experiencing performance issues primarily due to the message build up over time and in scenarios where it receives a heavy message load in quick succession.
Mirth has a channel-based architecture and it's ideal if there is some way we can performance test the Mirth channel and get JMeter statistics for its performance. Whereby we can gather the necessary information to optimize the channel transformers and also to set the purge routines accordingly.
However in the Internet there was little to no information on this area, that is how one can use JMeter to test a Mirth channel. A team in Sri Lanka did some research on this area back in 2013 and I found their findings and achievements below
http://pragmatictestlabs.com/2016/10/09/performance-testing-healthcare-application-hl7-jmeter/
However this is very specific the output here was a JSon object which they extracted, in Mirth however we can have outputs in various forms and there need to be a better way to do this. An important takeaway from this is the input that is the input is general we can use JMeter to generate HL7 messages and pass them to Mirth that's great but how to capture the response generally, it would be ideal if there is a way to read the Mirth Dashboard through JMeter, all the output statistics are there it's just a matter of reading them.
I have an application where Mirth reads HL7 messages both ADT and RDE and creates a text file accordingly with appropriate content and drops it to a shared location. Then the application reads the files and shows the information to the user.
I wish to do two performance tests here
Measure how much time the complete system takes and how it varies with load from the arrival of a message to its information being available to the user
Measure how much time the channel takes and how it does it as the load increases
I can do the first one because I can generate HL7 messages using JMeter and I can get JMeter to read the output in the application or the database. The problem is with the second, can I do this in a general way.
You asked for suggestions, so I'm going to share my general strategy for performance testing Mirth channels. I suspect that this won't be a complete answer to your question, and I might not be telling you anything you don't already know, but I'm hoping this will help you find an answer that you are comfortable with.
For several reasons, try not to spend too much time "testing the complete system":
Firstly, testing the entire system necessarily includes testing low-level configuration like the number of CPU cores, the NICs being used in the box, and kernel level software like the TCP/IP stack. You don't usually have any control over these things, so you can't optimize them in any way.
Secondly, the performance of the entire system is going to be heavily dependant on whatever ancillary code is running on the box. If a sysadmin decides to 'nice' my Mirth process down, or to use that box to also host a SQL server, that will have an impact on the system that I (again) have no control over.
Thirdly and most frankly, I find that the "performance of an entire system" is something that management asks about during system setup so they can get a cost estimate; but they know that they're only getting an estimate. You do your best to use test metrics to give a good guess for the initial hardware provisioning, but everyone knows that it's really the production performance metrics that will drive later provisioning costs.
Make sure that you build your channels for testability. I find that it's much easier to test a channel when the source and destination can be changed to "Channel Reader" and "Channel Writer" without changing message handling. One way to look at this is that you're not going to overhaul Mirth's MLLP stack or Java's TCP stack, so just eliminate these things from your testing.
I keep a source of useful test messages. I have a couple of files on a network drive that have around a hundred messages that test for nasty edge cases that I've run into over the years on my HL7 interfaces. I wrote a small Mirth channel that reads these in from a file and spews out copies as fast as it can. By turning on "Queueing" on the destination side of that channel, I can queue up a bajillion test messages that are ready to send to the channel I want to test. In the past I took the time to build a test interface that acted like a fake EMR to spew out randomly constructed messages, but there didn't seem to be any advantage over just spewing copies of the same messages from my test files.
Finally, and most importantly, it's critical that you measure the performance of your test instance using the same metrics that you'll use to measure the performance of your production instance. If the sole production metric you care about is 'messages per second', then that's what you need to measure on your test box. If memory footprint is a concern in production, then you need to measure memory usage in your test environment as well. When you make a change to to your test instance that decreases an important metric by 10%, you'll need to make sure your management is aware before you push that change to production.
Note that getting some of these metrics can be tricky, since Mirth doesn't include good tools to monitor its own performance. The Mirth dashboard is a good place to keep an eye on errors or crashes, but it's not a great place to find performance data. During my testing I make sure that I use whatever resource monitoring tool that the sysadmins will be using to monitor the performance of the production instance. Beyond that, I use a manual process to test performance: If I want to count message per second, I send through a batch of messages and look at the timestamps of the first and last messages. If I want to get an idea of the CPU load of a Mirth channel, I use the Windows Performance Monitor or the posix 'top' command.
I am trying to debug a service with respect to its performance. The service I am trying to debug, internally spawns instances of the same binary. To improve the through-put, I am planning to increase number of instances of the binary. After a point in number of processes of the binary, through-put is not increasing. Now I am trying to reason-out why this is happening.
I need some help on where to start, tools available for process level profiling. I am using freeBSD platform.
If using more processes doesn't improve output, then your service isn't CPU bound. It might be constrained by e.g. disk or network throughput instead.
Start with systat. Especially systat -vmstat. See man systat.
This will show you several aspects (like memory usage, interrupts, processot usage and disk activity) of how busy your system is.
If your program does a lot of network activity, using systat -tcp might give insight as well.
If your service is a HTTP server, you might want to look at varnish.
Is there a tool which logs the system resource utilization like cpu,memory,io and network for a period of time and generate graph ?
I need to monitor system and identify in which period resource is been highly utilized.
If anyone of you had experience with this kind of tool,kindly suggest.
Thanks in Advance.
Besides third party tools, there is Windows Performance Monitor that can help. It shows real-time graphs, and can save the performance information into files that you can open and analyze later
It provides multiple metrics for CPU, memory, I/O and Network utilization, and shows an instance for each processor on the machine. It can also be used to monitor remote machines
You can also create collector sets, to have all monitored counters in a single component
Performance Monitoring Getting Started Guide
Create a Data Collector Set to Monitor Performance Counters
I think this tool will help you
System-Resources-Monitoring
System Monitoring
I am looking for a performance monitoring tool for my application which will collect/visualize in realtime the CPU and cache usage on single Linux box like IBM System or HP ProLiant with typical configuration 8 processors / 80 cores.
Application is the home-grown multithreaded C+ code which uses OpenMP.
This monitoring tool should not run 24 hours per day; it should not do e-mail notification.
I will run this tool just before sending commands to my apps, the apps will execute the command (it may take as a maximum few minutes only). During this time interval I need to analyze:
- usage of cores
- data movement between processors
- usage of L1, L2, L3 caches
- some other metrics (help me here) which can help to find bottleneck in application
performance and resource utilization
I guess that tools like Nagios / Zabbix are too heavy for this task.
From another side using the command-line tools like "top" and "sar" for 80 cores not very convenient and plotting (not necessary real-time) would be nice to have...
While getting the per core usage is rather easy - the other values might prove to be not practical, not at least without running that application within a profiler of some sorts.
Measuring QPI utilization is something highly non-trivial if at all possible. Intel's vTune might be able to acquire such things but only when running instrumented version of your binaries.
Also on x86 there is no way to figure out L1,L2,L3 usage of any kind - you can grab the low level CPU counters to measure cache misses though (but would probably need to use instrumented/profiled binaries and always withan something like vTune or PAPI).
You could "easily" setup something to pull all the lower level performance counters into SNMP and grab the SNMP values via standard SNMP capable monitoring tools but be aware that SNMP pulling is something that you don't want to occur more than 1-2/s max. Or pull that info into something like collectd.
I'm also having the impression that you don't understand the problem domain of monitoring tools. They are not ment to be used as low level analysis probes for finding application level/system bottlenecks - at best you could get some hints which resource (from a 10K feet view) is running under full utilization. Monitoring and alterting tools are something that operations staff needs to use to understand which part of their IT system is currently used and how, to gather historical data and predict future resource utilization and to be alerted when something breaks.
SiteScope, Hyperic or any combination of shell scripts, native OS utilities and a DB to store the results may do the job.