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Be cautious and be careful when modifying these arguments With that said, let s make some changes The major problem you will have with the web application servers is the heap The use of the heap has been greatly improved with 897 and above, but if you are on a lesser release, you will most likely experience heap dumps and java core dumps frequently First of all, what is heap Think of heap as the allocated web memory When the web server can no longer load the allocated object into its heap, it will trigger a heap dump The major thing to note here is that the when the web server requests memory from the heap, it expects it to be contiguous So it is possible that the heap has enough free memory, but it s just not contiguous Prior to 897, the Scroll To End and Data Browser functions were the main culprits that caused heap dumping This is because of the very large amounts of data these functions were requesting Either the heap was just not large enough to handle the request, or it did not have enough contiguous memory available The easiest way to get around this was to disable these functions But after a lot of screaming and gnashing of teeth, mostly from the financial people, you finally have to turn it back on for a select few Unfortunately, it only takes one person to crash a server, so to mitigate the problem you have to give these people their own server so they, at least, don t affect everyone else when they do crash the server When you configure the web server for those special people who need Scroll To End and the like, we are going to draw outside the lines here a little bit We mentioned before that you should set your min and max heap to the same value Well, in this situation, that will not be the case In this scenario you should set the minimum value to something low, like 32M or 128M and the maximum value to 2G This may cause some performance issues overall for this instance, but that s the trade-off for requiring Scroll To End and Data Browser NOTE Be sure to enable the /3GB or /PAE in Windows prior to setting the maximum heap value to greater than 18G One more argument that may help mitigate heap dumps in releases prior to 897 is the Xloratio This argument reserves a segment of memory specifically for large objects It will not prevent this segment from being used if needed by smaller objects However, it will try to use it only for larger objects Here s how it works: The value Xloratio=02 will reserve 20 percent of your defined heap for larger objects It first tries to allocate the requested memory space from the first 80 percent of the heap; it only goes into the upper 20 percent if it cannot allocate the requested contiguous memory If you do use this parameter, you should also adjust your maximum heap an additional 20 percent, equal to your large object ratio allocation.

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With the release of 897, the efficiency in which EnterpriseOne retrieves data for the Scroll To End and Data Browser has been improved dramatically For the most part, you should no longer have to worry as much about heap dumps What you should concentrate on here is garbage collection Garbage collection reclaims allocated heap space no longer being used Depending on the amount of heap being reclaimed, this process can stall your web application server Basically, users will experience a pause or clock on their screen while garbage collection is occurring Therefore, it is imperative that the garbage collection process be very efficient and timely How you determine whether your garbage collection is happening efficiently is by adding the following to your generic JVM arguments:

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needs-and-wants method comes in Rather than compare the current level of expenses with what will be estimated for retirement, this approach goes into the future to calculate how much annual income the clients will need in order to keep the standard of living that they want It also takes inflation into consideration, and will calculate how much the clients need to save between now and when they plan to retire Should conditions or expectations change (ie, retirement date changes, clients receive a large inheritance, inflation is much greater than anticipated), it will be necessary to update the model to reflect an accurate and realistic forecast for the clients Depending on what the updated analysis says, you may need to adjust your savings and investments to help you reach your goals

These arguments will generate the appropriate logging so you may evaluate the amount of time it is taking to do garbage collection The following is an example of the garbage collection log The first three lines are with just the verbose:gc argument

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News can also be very paradoxical and confusing to the market neophyte For example, a company can have a bad quarterly earnings report released and the stock may go up in price when the news is reported When this occurs, it is often because the news was known or anticipated ahead of time and a few professionals may decide to'buy or cover short sales once all of the bad news is finally out Some institutions may feel they are wily to follow the old saw, "Buy on bad news" Others believe they should provide support for one of their large positions at a difficult time

[GC 325407K->83000K(776768K), 02300771 secs] [GC 325816K->83372K(776768K), 02454258 secs] [Full GC 267628K->83769K(776768K), 18479984 secs]

What you are seeing in this example are two partials and one full garbage collection The first three numbers, that is, 325407K->83000K(776768K), refer to the amount of memory used before and after the garbage collection and the total memory configured The last number is obviously the time in which it took to perform the garbage collection It s not unusual for full garbage collections to take over a second, but the more frequent partial collections should be well under a second Typically you should not have to configure more than what s listed for this example, but should your users start to experience intermittent pauses in their response time, look to optimizing the garbage collection Finally, there is inefficiency in the way Internet Explorer handles expiration headers The following JVM argument can help mitigate this problem:

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