Search Results for "cpu memory usage" - Page 5
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108 projects for "cpu memory usage" with 2 filters applied:
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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AdaptiveCells J2EE generates test-beds for benchmarking J2EE performance. They consists of highly customizable EJB cells that can emulate CPU load, memory usage, memory leaks and exceptions. The behaviour of the cells is coordinated from a web front-end.
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JavaSysInfo is the java version of phpSysInfo, a library that provides information on the host being accessed. It parses /proc and displays things like Uptime, CPU, Memory, SCSI, IDE, PCI, Network adaptors and traffic, Disk usage and Video Information
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JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.
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Trackalloc is a lightweight, very compatible heap profiler for C programs that lets a developer quickly and visually assess trends in a program's memory usage.
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ECG manages different emulator projects. Each project has cpu information (bits, opcodes, registers, etc.) and memory managment(Description, Mirrors, etc.). Once you have done the CPU and Memory Project, you will be able to cross/generate C/C++ code.
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The welofunc project will develop a load and fuctional test tool for web applications with special focus on J2EE applications. Besides load and functional tests server monitoring will be included (CPU load, memory usage of the J2EE application server)
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Test Connect provides monitoring and trend tracking of memory, CPU, etc. on kernel level code on multiple platforms. Used with every build Test Connect can provide insight into how code is behaving, or misbehaving, with system resources or memory.
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EasyStream
Java library that ease the task to use streams.
...EasyStream is a natural extension of Apache commons-io ( http://commons.apache.org/io/ ), providing advanced solutions to some common but not trivial problem. This library key points are performances, low memory footprint, reduced set of dependencies and simplicity of usage.
