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  • High Throughput and Windows Workflow Foundation

    - by SometimesUseful
    Can WWF handle high throughput scenarios where several dozen records are 'actively' being processed in parallel at any one time? We want to build a workflow process which handles a few thousand records per hour. Each record takes up to a minute to process, because it makes external web service calls. We are testing Windows Workflow Foundation to do this. But our demo programs show processing of each record appear to be running in sequence not in parallel, when we use parallel activities to process several records at once within one workflow instance. Should we use multiple workflow instances or parallel activities? Are there any known patterns for high performance WWF processing?

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  • Inconsistent values in network switch throughput values

    - by Marcus Hughes
    Quite simple, I have a network switch with SNMP, and need to calculate the throughput of the switch port, so simply I use ifOutOctets. We transfer a file which is 145MB and if we use the total from the start, subtracted from the value at the end then the value is : 158901842 I simply can't get the value to match, or be anything similar to what the real transfer is. I understand that there may be excess traffic etc but I just can't get it to be anywhere similar (the server being tested has no traffic when this is not running) We have tried for a long time and suspect there may be an issue with the recording on the HP switch, do you have any suggestions, or how should we be calculating it? Thanks a lot in advance We have a HP ProCurve 1810G on 2.2

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  • Why can't get more speed on iperf on windows xp

    - by SledgehammerPL
    I test my bandwith and throughput using iperf (jperf) on desktop PC with WinXP. I can't get more than 3Mbit/s outside until I change TCP Window size - about 84Kb is ok. but I can't force XP to use this value by default.. I try very many magic spells on Registry, use many TCP Optimisers - but nothing works. I will accept that that everything is ok, when I reboot the PC, run iperf and will see 18.1Mbit - like my Linux box standing very near my Windows XP Box. Is it possible?

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  • The Unspoken - The Why of GC Ergonomics

    - by jonthecollector
    Do you use GC ergonomics, -XX:+UseAdaptiveSizePolicy, with the UseParallelGC collector? The jist of GC ergonomics for that collector is that it tries to grow or shrink the heap to meet a specified goal. The goals that you can choose are maximum pause time and/or throughput. Don't get too excited there. I'm speaking about UseParallelGC (the throughput collector) so there are definite limits to what pause goals can be achieved. When you say out loud "I don't care about pause times, give me the best throughput I can get" and then say to yourself "Well, maybe 10 seconds really is too long", then think about a pause time goal. By default there is no pause time goal and the throughput goal is high (98% of the time doing application work and 2% of the time doing GC work). You can get more details on this in my very first blog. GC ergonomics The UseG1GC has its own version of GC ergonomics, but I'll be talking only about the UseParallelGC version. If you use this option and wanted to know what it (GC ergonomics) was thinking, try -XX:AdaptiveSizePolicyOutputInterval=1 This will print out information every i-th GC (above i is 1) about what the GC ergonomics to trying to do. For example, UseAdaptiveSizePolicy actions to meet *** throughput goal *** GC overhead (%) Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) Tenuring threshold: (attempted to decrease to balance GC costs) = 1 GC ergonomics tries to meet (in order) Pause time goal Throughput goal Minimum footprint The first line says that it's trying to meet the throughput goal. UseAdaptiveSizePolicy actions to meet *** throughput goal *** This run has the default pause time goal (i.e., no pause time goal) so it is trying to reach a 98% throughput. The lines Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) say that we're currently spending about 16% of the time doing young GC's and about 5% of the time doing full GC's. These percentages are a decaying, weighted average (earlier contributions to the average are given less weight). The source code is available as part of the OpenJDK so you can take a look at it if you want the exact definition. GC ergonomics is trying to increase the throughput by growing the heap (so says the "attempted to grow"). The last line Tenuring threshold: (attempted to decrease to balance GC costs) = 1 says that the ergonomics is trying to balance the GC times between young GC's and full GC's by decreasing the tenuring threshold. During a young collection the younger objects are copied to the survivor spaces while the older objects are copied to the tenured generation. Younger and older are defined by the tenuring threshold. If the tenuring threshold hold is 4, an object that has survived fewer than 4 young collections (and has remained in the young generation by being copied to the part of the young generation called a survivor space) it is younger and copied again to a survivor space. If it has survived 4 or more young collections, it is older and gets copied to the tenured generation. A lower tenuring threshold moves objects more eagerly to the tenured generation and, conversely a higher tenuring threshold keeps copying objects between survivor spaces longer. The tenuring threshold varies dynamically with the UseParallelGC collector. That is different than our other collectors which have a static tenuring threshold. GC ergonomics tries to balance the amount of work done by the young GC's and the full GC's by varying the tenuring threshold. Want more work done in the young GC's? Keep objects longer in the survivor spaces by increasing the tenuring threshold. This is an example of the output when GC ergonomics is trying to achieve a pause time goal UseAdaptiveSizePolicy actions to meet *** pause time goal *** GC overhead (%) Young generation: 20.74 (no change) Tenured generation: 31.70 (attempted to shrink) The pause goal was set at 50 millisecs and the last GC was 0.415: [Full GC (Ergonomics) [PSYoungGen: 2048K-0K(26624K)] [ParOldGen: 26095K-9711K(28992K)] 28143K-9711K(55616K), [Metaspace: 1719K-1719K(2473K/6528K)], 0.0758940 secs] [Times: user=0.28 sys=0.00, real=0.08 secs] The full collection took about 76 millisecs so GC ergonomics wants to shrink the tenured generation to reduce that pause time. The previous young GC was 0.346: [GC (Allocation Failure) [PSYoungGen: 26624K-2048K(26624K)] 40547K-22223K(56768K), 0.0136501 secs] [Times: user=0.06 sys=0.00, real=0.02 secs] so the pause time there was about 14 millisecs so no changes are needed. If trying to meet a pause time goal, the generations are typically shrunk. With a pause time goal in play, watch the GC overhead numbers and you will usually see the cost of setting a pause time goal (i.e., throughput goes down). If the pause goal is too low, you won't achieve your pause time goal and you will spend all your time doing GC. GC ergonomics is meant to be simple because it is meant to be used by anyone. It was not meant to be mysterious and so this output was added. If you don't like what GC ergonomics is doing, you can turn it off with -XX:-UseAdaptiveSizePolicy, but be pre-warned that you have to manage the size of the generations explicitly. If UseAdaptiveSizePolicy is turned off, the heap does not grow. The size of the heap (and the generations) at the start of execution is always the size of the heap. I don't like that and tried to fix it once (with some help from an OpenJDK contributor) but it unfortunately never made it out the door. I still have hope though. Just a side note. With the default throughput goal of 98% the heap often grows to it's maximum value and stays there. Definitely reduce the throughput goal if footprint is important. Start with -XX:GCTimeRatio=4 for a more modest throughput goal (%20 of the time spent in GC). A higher value means a smaller amount of time in GC (as the throughput goal).

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  • What can cause throughput to become really slow when an ISAPI filter implements SF_NOTIFY_SEND_RAW_D

    - by Gerald
    I have an ISAPI filter for IIS6 that I've been developing for a while, but I just noticed something disturbing. Anytime I have the filter installed and I download a file, the file download becomes really slow. From a remote machine I'm getting ~120kb per second without the filter installed, and ~45kb per second with the filter installed. This seems to be related to the SF_NOTIFY_SEND_RAW_DATA callback. Whenever I register for this callback, I get the slow downloads, when I don't register for it, everything is fine. Even if I make my HttpFilterProc function just return immediately, like this: DWORD WINAPI HttpFilterProc( PHTTP_FILTER_CONTEXT pfc, DWORD notificationType, LPVOID pvNotification ) { return SF_STATUS_REQ_NEXT_NOTIFICATION; } I've also tried returning SF_STATUS_REQ_HANDLED_NOTIFICATION with the same result. Is it possible that I have some build setting on my DLL that is causing a slow execution of the callback function, or is this just the way it's going to be with ISAPI?

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  • How do I make "simple" throughput servlet-filter?

    - by Tommy
    I'm looking to create a filter that can give me two things: number of request pr minute, and average responsetime pr minute. I already got the individual readings, I'm just not sure how to add them up. My filter captures every request, and it records the time each request takes: public void doFilter(ServletRequest request, ...() { long start = System.currentTimeMillis(); chain.doFilter(request, response); long stop = System.currentTimeMillis(); String time = Util.getTimeDifferenceInSec(start, stop); } This information will be used to create some pretty Google Chart charts. I don't want to store the data in any database. Just a way to get current numbers out when requested As this is a high volume application; low overhead is essential. I'm assuming my applicationserver doesn't provide this information.

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  • Java preferences API throughput

    - by Domchi
    I'm using Java Preferences API to store window position and size of Swing application. At this moment, I'm listening to window resize/reposition events and storing the position and size every time they change. However, that means that if user slowly resizes window which is 200px wide to 400px wide, I'll probably write new window size about 200 times during pretty short time. Preferences API uses whichever datastore is available on the host system (windows registry for Windows etc.) - but the question is, what are limitations or best practices for properties API? Is it OK, or would it be smart to write only when user has finished resizing? Anyone had experiences with Properties API on different platforms?

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  • How do I make "simple" throughput j2ee-filter?

    - by Tommy
    I'm looking to create a filter that can give me two things: number of request pr minute, and average responsetime pr minute. I already got the individual readings, I'm just not sure how to add them up. My filter captures every request, and it records the time each request takes: public void doFilter(ServletRequest request, ...() { long start = System.currentTimeMillis(); chain.doFilter(request, response); long stop = System.currentTimeMillis(); String time = Util.getTimeDifferenceInSec(start, stop); } This information will be used to create some pretty Google Chart charts. I don't want to store the data in any database. Just a way to get current numbers out when requested As this is a high volume application; low overhead is essential. I'm assuming my applicationserver doesn't provide this information.

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  • Planning trunk capacity for multiple GbE switches

    - by wuckachucka
    Without measuring throughput (it's at the top of the list; this is just theoretical), I want to know the most standard method for trunking VLANs on multiple Gigabit (GbE) switches to a core Layer 3 GbE switch. Say you have three VLANs: VLAN10 (10.0.0.0/24) Servers: your typical Windows DC/file server, Exchange, and an Accounting/SQL server. VLAN20: (10.0.1.0/24) Sales: needs access to everything on VLAN10; doesn't need access to VLAN30 and vice-versa. VLAN20: (10.0.1.0/24) Support: needs access to everything on VLAN10; doesn't need access to VLAN20 and vice-versa. Here's how I think this should work in my head: Switch #1: Ports 2-20 are assigned to VLAN20; all the Sales workstations and printers are connected here. Optional 10GbE combo port #1 is trunked to L3 switch's 10 GbE combo port #1. Switch #2: Ports 2-20 are assigned to VLAN30; all the Support workstations and printers are connected here. Optional 10GbE combo port #1 is trunked to L3 switch's 10 GbE combo port #2. Core L3 switch: Ports 2-10 are assigned to VLAN10; all three servers are connected here. With a standard 10/100 x 24 switch, it'll usually come with one or two 1 GbE uplink ports; carrying over this logic to a 10/100/1000 x 24, the "optional" 10 GbE combo ports that most higher-end switches can get shouldn't really be an option. Keep in mind I haven't tested anything yet, I'm primarily moving in this direction for growth (don't want to buy 10/100 switches and have to replace those within a couple of years) and security (being able to control access between VLANs with L3 routing/packet filtering ACLs). Does this sound right? Do I really need the 10 GbE ports? It seems very non-standard and expensive, but it "feels" right when you think about 40 or 50 workstations trunking up to the L3 switch over 1 GbE standard ports. If say 20 workstations want to download a 10 GB image from the servers concurrently, wouldn't the trunk be the bottleneck? At least if the trunk was 10 GbE, you'd have 10x1GbE nodes being able to reach their theoretical max. What about switch stacking? Some of the D-Links I've been looking at have HDMI interfaces for stacking. As far as I know, stacking two switches creates one logical switch, but is this just for management I/O or does the switches use the (assuming it's HDMI 1.3) 10.2 Gbps for carrying data back and forth?

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  • Network speeds being report as 4x higher than actual in Windows 7 SP1

    - by Synetech
    Ever since installing Windows 7 SP1, I have noticed that all programs that display my network transfer rate have been exactly 4x higher than they actually are. For example, when I download something from a high-bandwidth web site or through torrents with lots of sources, the download rate indicated is is ~5MBps (~40Mbps) even though my Internet connection has a maximum of only 1.5MBps (12Mbps). It is the same situation with the upstream bandwidth: the connection maximum is 64KBps, but I’m seeing up to 256KBps. I have tried several different programs for monitoring bandwidth throughput and they all give the same results. I also tried different times and different days, and they always show the rate as being four times too high. My initial thought was that my ISP had increased the speeds (without my noticing), which they have done before. However, I checked my ISP’s site and they have not increased the speeds. Moreover, when I look at the speeds in the program actually doing the transfer (eg Chrome, µTorrent, etc.), the numbers are in line with the expected values at the same time that bandwidth monitoring programs are showing the high numbers. The only significant change (and pretty much the only change at all) that has occurred to my system since the change was the installation of SP1 for Windows 7. As such, it is my belief that some sort of change exists in SP1 whereby software that accesses the bandwidth via a specific API receives (erroneously?) high numbers while others that have access to the raw data continue to receive the correct values. I booted into Windows XP and downloaded some things via HTTP and torrent and in both cases, the numbers were as expected (like they were in Windows 7 before installing SP1). I then booted back into 7SP1 and once again, the numbers were four times higher than possible. Therefore it is definitely something in SP1 that has changed how local bandwidth is calculated/returned. There is definitely something wonky with Windows 7 SP1’s network speed calculation. I tried Googling this, but (for multiple reasons), have had a difficult time finding anything relevant. Has anybody else noticed this behavior? Does anybody know of any bugs or changes in SP1 that could account for it?

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  • MD3200 - 3 to 4x less throughput than MD1220. Am I missing something here?

    - by Igor Polishchuk
    I have two R710 servers with similar configuration. One in my office has MD1220 attached. Another one in the datacenter of my hosting services vendor has MD3200. I'm getting significantly worse throughput from MD3200 at my vendors setup. I'm mostly interested in sequential writes, and I'm getting these results in bonnie++ and dd tests: Seq. writes on MD1220 in my office: 1.1 GB/s - bonnie++, 1.3GB/s - dd Seq. writes on MD3200 at my vendor's: 240MB/s - bonnie++, 310MB/s - dd Unfortunately, I could not test the exactly the same configurations, but the two I have should be comparable. If anything, my good performing environment is cheaper than the bad performing. I expect at least similar throughput from these two setups. My vendor cannot really help me. Hopefully, somebody more familiar with the DAS performance can look at it and tell if I'm missing something here and my expectations are too high. To summarize, the question here is it reasonable to expect about 100MB/s of sequential write throughput per each couple of drives in RAID10 on MD3200? Is there any trick to enable such performance in MD3200 with dual controller as opposed to simple MD1220 with a single H800 adapter? More details about the configurations: A good one in my office: Dell R710 2CPU X5650 @ 2.67GHz 12 cores 96GB DDR3, OS: RHEL 5.5, kernel 2.6.18-194.26.1.el5 x86_64 20x300GB 2.5" SAS 10K in a single RAID10 1MB chunk size on MD1220 + Dell H800 I/O controller with 1GB cache in the host Not so good one at my vendor's: Dell R710 2CPU L5520 @ 2.27GHz 8 cores 144GB DDR3, OS: RHEL 5.5, kernel 2.6.18-194.11.4.el5 x86_64 20x146GB 2.5" SAS 15K in a single RAID10 512KB chunk size, Dell MD3200, 2 I/O controllers in array with 1GB cache each Additional information. I've also ran the same tests on the same vendor's host, but the storage was: two raids of 14x146GB 15K RPM drives RAID 10, striped together on the OS level on MD3000+MD1000. The performance was about 25% worse than on MD3200 despite having more drives. When I ran similar tests on the internal storage of my vendor's host (2x146GB 15K RPM drives RAID1, Perc 6i) I've got about 128MB/s seq. writes. Just two internal drives gave me about a half of 20 drives' throughput on MD3200. The random I/O performance of the MD3200 setup is ok, it gives me at least 1300 IOPS. I'm mostly have problems with sequentioal I/O throughput. Thank you for looking into it. Regards Igor

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  • A gigabit network interface is CPU-limited to 25MB/s. How can I maximize the throughput?

    - by netvope
    I have a Acer Aspire R1600-U910H with a nForce gigabit network adapter. The maximum TCP throughput of it is about 25MB/s, and apparently it is limited by the single core Intel Atom 230; when the maximum throughput is reached, the CPU usage is about 50%-60%, which corresponds to full utilization considering this is a Hyper-threading enabled CPU. The same problem occurs on both Windows XP and on Ubuntu 8.04. On Windows, I have installed the latest nForce chipset driver, disabled power saving features, and enabled checksum offload. On Linux, the default driver has checksum offload enabled. There is no Linux driver available on Nvidia's website. ethtool -k eth0 shows that checksum offload is enabled: Offload parameters for eth0: rx-checksumming: on tx-checksumming: on scatter-gather: on tcp segmentation offload: on udp fragmentation offload: off generic segmentation offload: off The following is the output of powertop when the network is idle: Wakeups-from-idle per second : 61.9 interval: 10.0s no ACPI power usage estimate available Top causes for wakeups: 90.9% (101.3) <interrupt> : eth0 4.5% ( 5.0) iftop : schedule_timeout (process_timeout) 1.8% ( 2.0) <kernel core> : clocksource_register (clocksource_watchdog) 0.9% ( 1.0) dhcdbd : schedule_timeout (process_timeout) 0.5% ( 0.6) <kernel core> : neigh_table_init_no_netlink (neigh_periodic_timer) And when the maximum throughput of about 25MB/s is reached: Wakeups-from-idle per second : 11175.5 interval: 10.0s no ACPI power usage estimate available Top causes for wakeups: 99.9% (22097.4) <interrupt> : eth0 0.0% ( 5.0) iftop : schedule_timeout (process_timeout) 0.0% ( 2.0) <kernel core> : clocksource_register (clocksource_watchdog) 0.0% ( 1.0) dhcdbd : schedule_timeout (process_timeout) 0.0% ( 0.6) <kernel core> : neigh_table_init_no_netlink (neigh_periodic_timer) Notice the 20000 interrupts per second. Could this be the cause for the high CPU usage and low throughput? If so, how can I improve the situation? As a reference, the other computers in the network can usually transfer at 50+MB/s without problems. A computer with a Core 2 CPU generates only 5000 interrupts per second when it's transferring at 110MB/s. The number of interrupts is about 20 times less than the Atom system (if interrupts scale linearly with throughput.) And a minor question: How can I find out what is the driver in use for eth0?

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  • Gsm modem submission rate

    - by myotherme
    Has anyone measured the rate of submission through a GSM modem? We are implementing a solution at the moment and are only able to submit at a rate of about one message every 3 to 5 seconds. We are not sure if this is a library/api problem or if our modem is just of poor quality. Has anyone had any experience with these devices and measured the throughput rate?

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  • Issues with sustained traffic with PFSense

    - by Farseeker
    Last week we had to replace our PFSense firewall because it had a catastrophic hardware failure. All but one of the NICs were taken out of the old server and put into the new one. The one NIC that was not moved was the LAN NIC as this is on-board. The other NICs are all WAN connections and the must all be present (i.e. I can't disable one just for the sake of testing) After re-installing PFSense and restoring our backup of the configuration, everything came back online just fine, however on the new hardware any download that takes longer than about 10 seconds just times out in the middle. Example 1: Downloading from Microsoft.com goes at about 900k/sec and times out after about 10 seconds (thus, just under 10Mb of content) Example 2: Downloading from cnet.com goes at about 300k/sec and times out after about 10 seconds (thus, about 3Mb of content). By times out, I mean that the download just stops, and you have to pause/resume to get the next part done, repeat and rinse until the download is complete. However it's not consistant, sometimes it's 10 seconds, sometimes it's 4 seconds, and it sometimes you can't even load a heavy HTML page because the page never finishes. I assume this is most likely because PFSense does not like the onboard NIC, as this is the primary difference between the two servers. It's recognised as NFE0, and there's no room in the server for any more NICs and I don't have any dual-port NICs handy to experiment with a different LAN connection. I've never had to troubleshoot this sort of issue before. Can anyone give me some pointers about where to start? Linux is not my forte so please be kind!

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  • Debugging IO limitation

    - by Martin F
    I have a Fedora box with some severe IO limitations which I have no idea how to debug. The server has a Areca Technology Corp. ARC-1130 12-Port PCI-X to SATA RAID Controller with 12 7200 RPM 1.5 TB disks and a Marvell Technology Group Ltd. 88E8050 PCI-E ASF Gigabit Ethernet Controller. uname -a output: 2.6.32.11-99.fc12.x86_64 #1 SMP Mon Apr 5 19:59:38 UTC 2010 x86_64 x86_64 x86_64 GNU/Linux The server is a file server running Nginx with the stub status module enabled, so I can see the current amount of connections. The problem present itself when I have a high number of simultaneous connections in a writing state. Usually around 350, at this very moment it's at 590 and the server is almost unusable and stuck at 230mbit/s. If I run stop and hit 1 to see CPU core usages I have all 4 cores with around 99% io wait, if I run iotop the nginx workers are the only processes producing any read load, currently at around 25MB/s. I have each of the workers bound to their own core. Initially I figured it was just the disks being bugged. But I've run fscheck and smartmontools checks and found no errors. I also ran an iozone test which you can see the result of here: http://www.pastie.org/951667.txt?key=fimcvljulnuqy2dcdxa Additionally, when the amount of connections are low I have no problem getting a good speed. If I wget over the local network it easily hits 60MB/sec. Right now I just tried putting a file in /dev/shm, then I symlinked a file from the public dir to it and used wget over the local network and only got 50KB/s. Also, if I try to cp /dev/shm/test /root/test it quickly copies around 740MB and then slows down HEAVILY. Again with iotop reporting 99% iowait. I'm not really sure how to go about figuring out what the problems are. It could be a natural disk limitation but then the file from /dev/shm ought to transfer so it seems there's a network limit, but that's fine when there's not many connections. Perhaps it's a TCP stack problem but I really have no idea how to check that. Any suggestions on how to proceed with debugging would be very welcome. If additional information is required then let me know and I'll try to get it. Thanks.

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  • Where would an S3 upload speed cap originate?

    - by CoreyH
    I do a ton of uploading to S3 and am experiencing capped speeds and I can't quite figure out how to address it. The setup: Windows Server 2008 R2 x64, external HD, using a Java based upload tool called Jsh3ll and custom VBS scripts to kick the jobs off. Running one process at a time, I am always limited to about 4mbps. I have FiOS at 35/35mbps speeds, so it isn't an outright limit. AND, I can run parallel instances and can go all the way up to 35mbps, so I know the problem isn't gateway/nic/machine/amazon related. Running parallel instances works to a degree as a solution, but increases the complexity of my workflow greatly. Solving this would make my life dramatically easier. When I was first doing this I was playing around with a bunch of Windows TCP parameters and was able to briefly get unconstrained bandwidth, but it wasn't repeatable. Thoughts?

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  • How do I know if my disks are being hit with too many I/O reads or writes or both?

    - by Mark F
    I know a bit about disk I/O and bottlenecks relating to this especially when relating to databases. How do I really know what the max I/O numbers will be for my disks? What metric might be available to me for working out roughly (but needs to be a good approximation) of how much capacity (if you will) have I got left available in I/O. I've seen it before where things are bubbling along nicely and then all of a sudden, everything screams to a halt, and it ends up being an I/O bound problem. Is there a better way to predict when I/O is reaching its limits? This article was interesting but not giving the answer I desire. So, is my best bet surrounding just looking at 'CPU I/O WAIT'? There must be a more reactive method than this.

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  • Netcat UDP File Transfer Between Two Servers Times Out?

    - by Mark Bowytz
    I'm testing file transfer speeds between two Red Hat servers that are connected to the same switch within the data center and I decided to use netcat to eliminate protocol overhead as much as possible. Testing in TCP mode went well and I was wondering how UDP might fare. On my receiving (client) end, I ran this: nc -u -l 11225 -v > myfile.out And then on the sending (server) end I ran the following: cat myfile.out | nc -u myserver.foo.zzz.com 11225 -v The file I'm testing with is 38 GB but the transfer seems to stop at around 15 GB (one time at 14.9, another at 15.6). I've tested by adding a "-w 5000" just in case it's timing out but no joy. Adding the -v doesn't show anything except acknowledging that the connection occurred. No errors. So - any suggestions as to why would the transfer cease?

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  • vista bandwith reservation

    - by user185646
    I would like to write my own version of Microsoft Live labs pivot.http://www.getpivot.com/ For this i will use realtime texture streaming technology like John Carmack did for doom4. But i would like to use Windows vista SetFileBandwidthReservation api to have the best throughput possible. For example // reserve bandwidth of 200 bytes/sec result = SetFileBandwidthReservation( hFile, 1000, 200, FALSE, &transferSize, &outstandingRequests ); What i dont understand is the lpTransferSize and lpNumOutstandingRequests return parameters. How should i next read the file for this to be the most worth it. Should i do exactly lpNumOutstandingRequests number of request of size lpTransferSize. Or can i do one synchronous request bigger than lpTransferSize.

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  • An XEvent a Day (18 of 31) – A Look at Backup Internals and How to Track Backup and Restore Throughput (Part 2)

    - by Jonathan Kehayias
    In yesterday’s blog post A Look at Backup Internals and How to Track Backup and Restore Throughput (Part 1) , we looked at what happens when we Backup a database in SQL Server.  Today, we are going to use the information we captured to perform some analysis of the Backup information in an attempt to find ways to decrease the time it takes to backup a database.  When I began reviewing the data from the Backup in yesterdays post, I realized that I had made a mistake in the process and left...(read more)

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  • An XEvent a Day (17 of 31) – A Look at Backup Internals and How to Track Backup and Restore Throughput (Part 1)

    - by Jonathan Kehayias
    Today’s post is a continuation of yesterday’s post How Many Checkpoints are Issued During a Full Backup? and the investigation of Database Engine Internals with Extended Events.  In today’s post we’ll look at how Backup’s work inside of SQL Server and how to track the throughput of Backup and Restore operations.  This post is not going to cover Backups in SQL Server as a topic; if that is what you are looking for see Paul Randal’s TechNet Article Understanding SQL Server Backups . Yesterday...(read more)

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  • busybox does not display the throughput value at the end of a FTP session?

    - by rockyurock
    Hello, why busybox does not display the throughput value at the end of a FTP session? Or it is some version specific ? i heard that some version of busybox displays Tput value at the end of data transfer but i know that specific version .. i typed the below command but i did not get any throughput status.. "busybox ftpget -v -u user -p Password ip abc.txt abc.txt" could anybody please let me know how can i get the tput value for UL/DL data transfer? Also how can we get the status of Tput value at the client side if we do busybox ftpput operation?? regds rocky

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  • Why increased pipeline depth does not always mean increased throughput?

    - by worlds-apart89
    This is perhaps more of a discussion question, but I thought stackoverflow could be the right place to ask it. I am studying the concept of instruction pipelining. I have been taught that a pipeline's instruction throughput is increased once the number of pipeline stages is increased, but in some cases, throughput might not change. Under what conditions, does this happen? I am thinking stalling and branching could be the answer to the question, but I wonder if I am missing something crucial.

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  • Limiting network throughput of an already launched process ? (Linux/FreeBSD)

    - by jbdenis
    Hello everybody, is there any utility to limit the network throughput of a process after it has been launched ? Simple example: you note that a user takes all your upload bandwidth using scp and you'd like to limit the rate or decrease the priority of the transfer. I guess i could use a combination of iptables/tc or pf to achieve that, but i was wondering if there is a "one-shot" tool available (like tickle with a --pid option ^^) ? Regards, Jean-Baptiste

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