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• How to have an Arduino wait until it receives data over serial?

  - by SonicDH

  So I've wired up a little robot with a sound shield and some sensors. I'm trying to write a sketch that will let check the sensors. What I'd like for it to do is print out a little menu over serial, wait until the user sends a selection, jump to the function that matches their selection, then (once the function is done) jump back and print the menu again. Here's what I've written, but I'm not a that good of a coder, so it doesn't work. Where am I going wrong? #include <Servo.h> Servo steering; Servo throttle; int pos = 0; int val = 0; void setup(){   Serial.begin(9600);   throttle.write(90);   steering.write(90);   pinMode(A0, INPUT);   pinMode(7, INPUT);   char ch = 0; } void loop(){   Serial.println("Menu");   Serial.println("--------------------");   Serial.println("1. Motion Readout");   Serial.println("2. Distance Readout");   Serial.println("3. SD Directory Listing");   Serial.println("4. Sound Test");   Serial.println("5. Car Test");   Serial.println("--------------------");   Serial.println("Type the number and press enter");   while(char ch = 0){   ch = Serial.read();}   char ch;   switch(ch)   {     case '1':     motion();   }    ch = 0; } //menu over, lets get to work. void motion(){   Serial.println("Haha, it works!"); } I'm pretty sure a While loop is the right thing to do, but I'm probably implementing it wrong. Can anyone shed some light on this?

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• fail2ban log parsing too slow on Raspberry Pi - options? [migrated]

  - by Gordon Morehouse

  I'm running fail2ban on a Raspberry Pi at 950MHz which I cannot overclock further. The Pi is occasionally subject to SYN floods on particular ports. I've set up iptables to throttle the rate of SYNs on the port of interest; when the throttle limits are exceeded, hosts which send SYNs are dropped into the REJECT chain and the particular SYN packet which exceeded the limit is logged. fail2ban then watches for these logged SYNs and, after seeing a few, temporarily bans the host for a short time (this is a transient issue in the app I'm working with). The problem is that the SYN floods can occasionally reach rates which are too fast for fail2ban to keep up with; I'll see 20-40 log messages per second, and eventually fail2ban falls behind and becomes ineffective. To add insult to injury, it continues consuming a LOT of CPU as it tries to catch up. I have verified that DROP chained packets from hosts already banned by fail2ban are not logged, and thus do not add to its load. What are my options here? I have a few ideas, but no clear path forward. Could I make the log-parse regex "easier" so it takes fewer cycles? Would using iptables --log-prefix to put a token near the start of the log message, and/or otherwise simplifying/altering the fail2ban regex help? Here is the current fail2ban config line containing a regex: failregex = kernel:.*?SRC=(?:::f{4,6}:)?(?P<host>[\w\-.^_]+) DST.*?SYN Is there a faster way for fail2ban to watch for the packets exceeding the limits than parsing kern.log? Could fail2ban be run under PyPy instead of CPython with minimal nonstandard wizardry (the OS is Raspbian 7, so, mostly Debian 7)? Is there something better than fail2ban that I could use to watch for the packets which exceed the SYN limits, and after N exceeds in X seconds, temporarily put the offending IP into the iptables DROP bucket, and take it out when the ban timer expires? Again, I'd vastly prefer a solution that uses as much software available in Debian as possible, though I can build Debian packages in a pinch.

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• Creating a Synchronous BPEL composite using File Adapter

  - by [email protected]

  By default, the JDeveloper wizard generates asynchronous WSDLs when you use technology adapters. Typically, a user follows these steps when creating an adapter scenario in 11g: 1) Create a SOA Application with either "Composite with BPEL" or an "Empty Composite". Furthermore, if  the user chooses "Empty Composite", then he or she is required to drop the "BPEL Process" from the "Service Components" pane onto the SOA Composite Editor. Either way, the user comes to the screen below where he/she fills in the process details. Please note that the user is required to choose "Define Service Later" as the template. 2) Creates the inbound service and outbound references and wires them with the BPEL component:     3) And, finally creates the BPEL process with the initiating <receive> activity to retrieve the payload and an <invoke> activity to write the payload.     This is how most BPEL processes that use Adapters are modeled. And, if we scrutinize the generated WSDL, we can clearly see that the generated WSDL is one way and that makes the BPEL process asynchronous (see below)   In other words, the inbound FileAdapter would poll for files in the directory and for every file that it finds there, it would translate the content into XML and publish to BPEL. But, since the BPEL process is asynchronous, the adapter would return immediately after the publish and perform the required post processing e.g. deletion/archival and so on.  The disadvantage with such asynchronous BPEL processes is that it becomes difficult to throttle the inbound adapter. In otherwords, the inbound adapter would keep sending messages to BPEL without waiting for the downstream business processes to complete. This might lead to several issues including higher memory usage, CPU usage and so on. In order to alleviate these problems, we will manually tweak the WSDL and BPEL artifacts into synchronous processes. Once we have synchronous BPEL processes, the inbound adapter would automatically throttle itself since the adapter would be forced to wait for the downstream process to complete with a <reply> before processing the next file or message and so on. Please see the tweaked WSDL below and please note that we have converted the one-way to a two-way WSDL and thereby making the WSDL synchronous: Add a <reply> activity to the inbound adapter partnerlink at the end of your BPEL process e.g.   Finally, your process will look like this:   You are done.   Please remember that such an excercise is NOT required for Mediator since the Mediator routing rules are sequential by default. In other words, the Mediator uses the caller thread (inbound file adapter thread) for processing the routing rules. This is the case even if the WSDL for mediator is one-way.

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• Throttling outbound API calls generated by a Rails app

  - by Sharpie

  I am not a professional web developer, but I like to wrench on websites as a hobby. Recently, I have been playing with developing a Rails app as a project to help me learn the framework. The goal of my toy app is to harvest data from another service through their API and make it available for me to query using a search function. However, the service I want to pull data from imposes a rate limit on the number of API calls that may be executed per minute. I plan on having my app run a daily update which may generate a burst of API calls that far exceeds the limit provided by the external service. I wish to respect the performance of the external site and so would like to throttle the rate at which my app executes the calls. I have done a little bit of searching and the overwhelming amount of tutorial material and pre-built libraries I have found cover throttling inbound API calls to a web app and I can find little discussion of controlling the flow of outbound calls. Being both an amateur web developer and a rails newbie, it is entirely possible that I have been executing the wrong searches in the wrong places. Therefore my questions are: Is there a nice website out there aggregating Rails tutorials that has material related to throttling outbound API requests? Are there any ruby gems or other libraries that would help me throttle the requests? I have some ideas of how I might go about writing a throttling system using a queue-based worker like DelayedJob or Resque to manage the API calls, but I would rather spend my weekends building the rest of the site if there is a good pre-built solution out there already.

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• Using file() incrementally?

  - by NeedBeerStat

  I'm not sure if this is possible, I've been googling for a solution... But, essentially, I have a very large file, the lines of which I want to store in an array. Thus, I'm using file(), but is there a way to do that in batches? So that every,say, 100 lines it creates, it "pauses"? I think there's likely to be something I can do with a foreach loop or something, but I'm not sure that I'm thinking about it the right way... Like $i=0; $j=0; $throttle=100; foreach($files as $k => $v) { if($i < $j+$throttle && $i > $j) { $lines[] = file($v); //Do some other stuff, like importing into a db } $i++; $j++; } But, I think that won't really work because $i & $j will always be equal... Anyway, feeling muddled... Can someone help me think a lil' clearer?

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• php - using file() incrementally?

  - by NeedBeerStat

  I'm not sure if this is possible, I've been googling for a solution... But, essentially, I have a very large file, the lines of which I want to store in an array. Thus, I'm using file(), but is there a way to do that in batches? So that every,say, 100 lines it creates, it "pauses"? I think there's likely to be something I can do with a foreach loop or something, but I'm not sure that I'm thinking about it the right way... Like $i=0; $j=0; $throttle=100; foreach($files as $k => $v) { if($i < $j+$throttle && $i > $j) { $lines[] = file($v); //Do some other stuff, like importing into a db } $i++; $j++; } But, I think that won't really work because $i & $j will always be equal... Anyway, feeling muddled... Can someone help me think a lil' clearer?

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• ACPI Throttling in Ubuntu

  - by Evan

  I'm looking to throttle my cpu through the ACPI. I've read up on it, but I keep receiving permission denied statements. I have 8 available throttling states. Here are the outcomes of my atttempts: evan@evan-laptop:/proc/acpi/processor/CPU0$ echo 3 /proc/acpi/processor/CPU0/throttling bash: /proc/acpi/processor/CPU0/throttling: Permission denied evan@evan-laptop:/proc/acpi/processor/CPU0$ sudo echo 3 /proc/acpi/processor/CPU0/throttling bash: /proc/acpi/processor/CPU0/throttling: Permission denied EDIT: For reference, I am running Ubuntu Karmic with Intel Core Duo T2500 with ACPI enabled

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• Is it possible to limit how much CPU a virtual machine can use with VMWare Player?

  - by Raz

  Is it possible to limit how much CPU a virtual machine can use with VMWare Player? I use VMWare to run a Windows XP virtual machine. I want to keep it on in the background all the time. The real computer runs Windows 7 and is sometimes a little bit short of memory. That's why I want to check if I can throttle the VM down to the bare minimum to keep it running in the background constantly without interfering too much.

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• Cisco IOS QoS prioritize SSH but not SCP

  - by ensnare

  How can I prioritize ssh traffic to ensure low-latency but throttle SCP file transfers? I'm looking for a solution that is not host specific so I don't have to add lists of IP addresses. Thanks!

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• Can someone explain what causes extra heat in a CPU

  - by BlueTrin

  I have a hardware question about CPU and chips in general: what is causing the extra heat when CPUs are busy doing computations ? I thought that the CPUs would have a way to throttle themselves when they are not busy but it seems that only applies to some mobile CPUs, so my question is how do CPUs manage to generate less heats when performing less computations and what causes the heat in the hardware when the workload increases ?

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• SQL SERVER – Service Broker and CAP_CPU_PERCENT – Limiting SQL Server Instances to CPU Usage

  - by pinaldave

  I have mentioned several times on this blog that the best part of blogging is the questions I receive from readers. They are often very interesting. The questions from readers give me a good idea what other readers might be thinking as well. After reading my earlier article Simple Example to Configure Resource Governor – Introduction to Resource Governor – I received an email from a reader and we exchanged a few emails. After exchanging emails we both figured out what is going on. It was indeed interesting and reader suggested to that I should blog about it.  I asked for permission to publish his name but he does not like the attention so we will just call him Jeff. I have converted our emails into chat for easy consumption. Jeff: Your script does not work at all. I think either there is a bug in SQL Server. Pinal: Would you please explain in detail? Jeff: Your code does not limit the CPU usage? Pinal: How did you measure it? Jeff: Well, we have third party tools for it but let us say I have limited the resources for Reporting Services and used your script described in your blog. After that I ran only reporting service workload the CPU is still used more than 100% and it is not limited to 30% as described in your script. Clearly something is wrong somewhere. Pinal: Did you say you ONLY ran reporting server load? Jeff: Yeah, to validate I ran ONLY reporting server load and CPU did not throttle at 30% as per your script. Pinal: Oh! I get it here is the answer - CAP_CPU_PERCENT = 30. Use it. Jeff: What is that, I think your earlier script says it will throttle the Reporting Service workload and Application/OLTP workload and balance it. Pinal: Exactly, that is correct. Jeff: You need to write more in email buddy! Just like your blogs, your answers do not make sense! No Offense! Pinal: Hmm…feedback well taken. Let me try again. In SQL Server 2012 there are a few enhancements with regards to SQL Server Resource Governor. One of the enhancement is how the resources are allocated. Let me explain you with examples. Configuration: [Read Earlier Post] Reporting Workload: MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30 Application/OLTP Workload: MIN_CPU_PERCENT=50, MAX_CPU_PERCENT=100 Example 1: If there is only Reporting Workload on the server: SQL Server will not limit usage of CPU to only 30% workload but SQL Server instance will use all available CPU (if needed). In another word in this scenario it will use more than 30% CPU. Example 2: If there is Reproting Workload and heavy Application/OLTP workload: SQL Server will allocate a maximum of 30% CPU resources to Reporting Workload and allocate remaining resources to heavy application/OLTP workload. The reason for this enhancement is for better utilization of the resources. Let us think, if there is only single workload, which we have limited to max CPU usage to 30%. The other unused available CPU resources is now wasted. In this situation SQL Server allows the workload to use more than 30% resources leading to overall improved/optimized performance. However, in the case of multiple workload where lots of resources are needed the limits specified in MAX_CPU_PERCENT are acknowledged. Example 3: If there is a situation where the max CPU workload has to be enforced: This is a very interesting scenario, in the case when the max CPU workload has to be enforced irrespective of the workload and enhanced algorithm, the keyword CAP_CPU_PERCENT is essential. It specifies a hard cap on the CPU bandwidth that all requests in the resource pool will receive. It will never let CPU usage for reporting workload to go over 30% in our case. You can use the key word as follows: -- Creating Resource Pool for Report Server CREATE RESOURCE POOL ReportServerPool WITH ( MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30, CAP_CPU_PERCENT=40, MIN_MEMORY_PERCENT=0, MAX_MEMORY_PERCENT=30) GO Notice that there is MAX_CPU_PERCENT=30 and CAP_CPU_PERCENT=40, what it means is that when SQL Server Instance is under heavy load under different workload it will use the maximum CPU at 30%. However, when the SQL Server instance is not under workload it will go over the 30% limit. However, as CAP_CPU_PERCENT is set to 40, it will not go over 40% in any case by limiting the usage of CPU. CAP_CPU_PERCENT puts a hard limit on the resources usage by workload. Jeff: Nice Pinal, you should blog about it. [A day passes by] Pinal: Jeff, it is done! Click here to read it. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Service Broker

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• Using a SMTP Service for email

  - by Josh S.

  This may be a horribly obvious question, but I'm learning and just need someone to confirm it for me. I putting together a private social network that needs to email their members (through the social network software, Elgg) regularly. I'm hosting it on a shared HostGator plan (because they won't receive much traffic) and they'll email 10-1000 emails a few times a week. HostGator restricts you to 500 per hour. I'm also worried about deliverability. I've been searching up and down about how to throttle the emails so it will all send reliably... but then I came across the idea of an outside SMTP relay service. Would using an SMTP service resolve this issue? If so, any opinions on quality SMTP services?

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• How should a site respond to automated login attempts with phony usernames?

  - by qntmfred

  For the last couple weeks I've been seeing a consistent stream of 15-30 invalid login attempts per hours on my site. Many of them are non-sensical usernames that nobody would ever register for real, and often contain typical spam-related keywords. They all come from different IP addresses so I can't just IP block/throttle the requests. I'm not worried about unauthorized access to real accounts since they aren't using real usernames. And if it were a member of my site trying to brute force logins, they could easily scrape the valid usernames from the site, so I'm not worried about that kind of malicious behavior either. But what's the point of this type of activity? What would whichever bot operator is doing this have to gain by attempting all these logins?

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• Performance triage

  - by Dave

  Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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• How can I get my mysqld-swamped CPU under control?

  - by Shay Guy

  I was AFK for about 24 hours and came back to find gnome-system-monitor saying all four CPU cores on my laptop were running at full throttle. mysqld is taking up more than one full core; when I tried to end the process, it restarted with a new PID. Then there's ksoftirqd/0-3, which apparently has something to do with interrupts, but I can't tell from Google what I'm supposed to do with those four particular processes. They're taking up a quarter or more of my processor cycles. Then there's Chrome, but I can probably handle that on my own -- how do I cool down the other processes giving me problems?

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• Multithreading, when to yield versus sleep

  - by aaa

  hello. To clarify terminology, yield is when thread gives up its time slice. My platform of interest is POSIX threads, but I think question is general. Suppose I have consumer/producer pattern. If I want to throttle either consumer or producer, which is better to use, sleep or yield? I am mostly interested in efficiency of using either function. Thanks

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• How to achieve a specific fraction(say 80%) of the cpus and balanced over them

  - by swellfr

  Hi, I was wondering if it would be possible to run app not at 100% of the cpu but at a specific amount of the cpus. I see different usage of this , we can better balance concurrent application ( we may want to have balance app 50% to have fair apps/agent/... ) i was also wondering if the power consumption would not be better if the cpus doesnt run at full throttle but at some lower level( say 80% ) What are your thoughts Thx examples are welcomed :)

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• Sony Vaio CPU fan runs at full speed after installing Windows 8.1 preview

  - by greg27

  I installed the Windows 8.1 preview on my Sony Vaio E Series 14P (http://www.sony.com.au/product/sve14a27cg) and now my CPU fan is running at full speed all the time. When I first start my computer it runs normally, but a few seconds after reaching the Windows login screen the fan speed will suddenly jump up to max. It's pretty loud, so I'm hoping there's a solution! I've tried updating my bios to the latest version but that didn't help. I've tried programs like SpeedFan, but that wasn't able to detect my CPU fan at all. My CPU usage and temperature is normal and doesn't warrant the max fan speed. Someone else has reported the issue here: http://answers.microsoft.com/en-us/windows/forum/windows8_1_pr-hardware/sony-vaio-e-series-sve14a35cxh100-fan-throttle/45ec823a-2bc8-43ea-8557-b1a5dd0a6870 Is there any way to fix this without having to refresh/reinstall Windows?

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• Free Windows traffic monitor that can run a command when reaching a limit

  - by leromarinvit

  Does anyone know a free traffic monitor tool for Windows XP which can run a configurable program when reaching a limit? Hoo Net Meter and DU Meter can do that, but they both cost money. What I'm trying to do is throttle the connection when getting close to the monthly limit, so that watching YouTube or downloading large files isn't fun any longer, but e-mail or looking something up still work. The throttling part is settled, Traffic Shaper XP works nicely. I just need something to automatically call a batch script when reaching the limit.

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• Using QoS to prioritize IP addresses

  - by Tristan

  I have a Western Digital N900 router. I was hoping I'd be able to throttle users based on their MAC address with it, which isn't possible sadly. Seems simple in principle though, duh. The battle against bandwidth hogging roomates rages on. Could I just set the local IP range to their IP, and then set the Local port range to every single port in existence. Then prioritize their IP to lower than mine? Will this work? What are all the ports? And what's the difference between Local and Remote IPs or Ports? Name: Roomate, Priority: Low, Protocol: TCP or UDP ??, Local IP Range: .101 to .101, Local Port Range: 0 to infinity, Remote IP Range: ? to ?, Remote Port Range: ? to ?

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• Sending single emails works, but sending to the same email in a distribution list is bounced

  - by EvilChookie

  I'm running an Exchange 2003 server on a Telstra Business internet connection (in Australia). I'm routing emails through the SMTP connecter, using the host smtp.telstrabusiness.com When users send single emails to a single recipient, the emails are sent correctly. However, when users send emails to a distribution list, they bounce back with: The message could not be delivered because the recipient's destination email system is unknown or invalid. Please check the address and try again, or contact your system administrator to verify connectivity to the email system of the recipient. One of the people in the list was able to recieve a single email from us just a few minutes afterwards, but did not recieve any of the email that should have come from the distribution list. Is there a way I can throttle the number of messages that Exchange will send at a time, so as not to appear as spam to Telstra?

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• Sending SPAM free mail through my website

  - by Sara

  Hi, I've been battling with this issue for couple of months. I need to send bulk mail (not spam) through my social network to users in situations like newsletters, site invitations (when user imports their address book contacts) I'm using shared hosting and it limits 500 mails per hour. Even though i manage to send mails most of them end up in user's spam box. After researching these are the solutions that i finally came up with. 1) Use Google Apps SMTP (http://www.google.com/apps/intl/en/business/features.html) 2) Move into VPS 3) Use shared hosting with throttle enabled Please advise me on what to choose. Will using Google Apps prevent mail being sent as spam? I can't use other 3rd party SMTP like iContact or Aweber as "invitation sending script" will send emails to thousands of contacts, depending on user's addressbook. Thanks in advance

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• The canonical "blocking BitTorrent" question

  - by Aphex5

  How can one block, or severely slow down, BitTorrent and similar peer-to-peer (P2P) services on one's small home/office network? In searching Server Fault I wasn't able to find a question that served as a rallying point for the best technical ideas on this. The existing questions are all about specific situations, and the dominant answers are social/legal in nature. Those are valid approaches, but a purely technical discussion would be useful to a lot of people, I suspect. Let's assume that you don't have access to the machines on the network. With encryption use increasing in P2P traffic, it seems like stateful packet inspection is becoming a less workable solution. One idea that seems to make sense to me is simply throttling down heavy users by IP, regardless of what they're sending or receiving -- but it doesn't seem many routers support that functionality at the moment. What's your preferred method to throttle P2P/BitTorrent traffic? My apologies if this is a dupe.

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• Advice for migrating email server

  - by Chris Adams

  Hi there, I'm planning to migrate a Zimbra server with about 200gb of data from a server hosted in an office into a datacentre, to increase uptime (we've had a couple of outages when our network here started flaking out, and we have people in other countries relying on this server too). However, I'm not sure how best to migrate the data into the data centre without rendering the connection unusable during office hours, because there's far too much to send in over night over the two meg upstream connection we have here. I'm familiar with using tools like nice to stop a long running process degrading machine performance - is there a simple way to throttle a connection between office hours, so the long running transfer doesn't block the pipe, but then opens up outside of office hours to make the most of the bandwidth? I'm aware the alternative here is to simply mail a hard drive to the data centre, but I'd like to avoid doing that if I could. We're using Centos Linux for our servers, in the office and the datacentre, so extra points for an open source linux answer.

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• IIS not using available memory?

  - by Herb Caudill

  Recently launched an ASP.NET site running on a single 32-bit WS2003 box (SQL on a separate server). The server has 4GB intalled, 3GB available. According to task manager, the w3wp.exe process is only using between 200-600MB. The site has tens of thousands of pages and makes heavy use of page output caching, so I would expect it to use a lot more of the available memory. The app pool isn't set to throttle memory usage. Is there anything else that might be limiting the amount of memory that IIS takes?

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