memory consumption

Creating too many threads in one JVM can cause the system to run out of memory or thrash due to excessive memory consumption.

In some cases the common language runtime might be able to pack your Short variables closely together and save memory consumption.

For instance, one JVM might be faster to start up, while the other may maintain lower memory consumption over the long run.

Depending on the XQuery implementation, this construction may be inefficient in terms of memory consumption.

Instrumenting the number of users and the total memory consumed, showed a linear relationship for memory consumption.

Each thread has associated data; so, as the number of threads increases, the memory consumption of the application also increases.

Memory consumption The amount of memory antivirus scanners use, greatly influences the overall "responsiveness" of the operating system.

Even when it didn't actually run out of memory, the GC overhead was just too high when memory consumption was high.

This dynamic run time provisioning model helps improve startup time as well as memory consumption of the application server.

Increasing the precision of distribution statistics leads to greater CPU and memory consumption, as well as increased catalog space.

This applies to all audit types and is designed to reduce overall memory consumption for very large audits.

The Status Bar contains information about the current game folder, console connection information, memory consumption of the level.

A smaller load factor means faster lookup at the cost of increased memory consumption.

This means that database manager automatically determines the upper boundary on memory consumption.

ESB-centric solutions are better equipped to monitor and control CPU or memory consumption, reducing the overall integration cost even more.

The reduction in threads leads to fewer threads for the VM to manage, fewer context switches, and reduced memory consumption.

Sharing the JVM helps to minimize memory consumption and enables the sharing of applications and data among multiple virtual portals.

In Greg's tests, using Continuations cuts thread consumption, and concomitantly stack memory consumption, by a factor of more than 10.

Enabling result caching makes subsequent queries faster but increases the memory consumption.

Memory consumption cannot be managed.

Using explicitly typed variables can improve performance and reduce memory consumption.

If you perform your own rendering, memory consumption will increase, though the increase may only be slight.

It adds the burden of memory consumption for reading in the entire data stream before it can be worked on, and for storing all of the data.

The derived part you created earlier created a significant savings in relative memory consumption.

This change resulted in "dramatic" reduction in memory consumption and faster rendering.

Memory consumption on analyzing large files has been greatly reduced, which should benefit ASP. NET and LINQ to SQL developers.

Developers need to know an application's run-time memory consumption, heap and stack sizes, etc to fine tune their applications.

Essentially, any workload that is not maximizing its physical memory consumption is an excellent candidate for AMS.

Performance and memory consumption varies for each rendering format.

Increase the speed of the program and reduced memory consumption.

So classloader leaks are introduced that lead to increased memory consumption after continuous redeploys.

Variables more efficiently and save memory consumption.

Because the resulting List is lazy, you can query quite a lot of objects without affecting application performance or memory consumption.

There are, however, means by which this benefit can be unwittingly defeated, thereby increasing startup time and memory consumption.

The calculating time and memory consumption comparison chart can indicate the method has high computational efficiency.

Profilers also often give information on object creation rates and memory consumption.

Take a look at memory consumption in Figure 2.

Start by taking a look at initial boot time and memory consumption of Apache Geronimo.

When there is excessive memory consumption, this view can provide useful information.

will keep memory consumption lower.

Each user's memory consumption, CPU usage, IP utilization, and so on, is tracked to enable chargeback within an enterprise.

But when the workload is well balanced, this can have a significant reduction in memory consumption.

Whenever you are dealing with memory consumption issues, it is very important to know where your application allocates memory.

Some applications will drive server to 10% of theoretical memory consumption s others only to 1%.

Another benefit is that memory consumption is optimized, as objects are only loaded into memory when they are requested.

The result is quadratic running time and memory consumption.

Decreasing Memory Consumption by Auxiliary Indicators

Integration of the quantizer and the scanner module not only reduces the memory consumption, but also saves the running time;