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rt-app is a test application that starts multiple periodic threads in order to simulate a real-time periodic load. It supports SCHED_OTHER/SCHED_FIFO/SCHED_RR as well as the AQuoSA framework and SCHED_DEADLINE, developed at the Real Time Systems Laboratory of Scuola Superiore Sant'Anna (http://retis.sssup.it/)
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deggeman/rt-app
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README for rt-app @VERSION@ ============== INTRODUCTION ============== rt-app is a test application that starts multiple periodic threads in order to simulate a real-time periodic load. Code is currently maintained on GitHub: http://github.com/scheduler-tools/rt-app ============== REQUIREMENTS ============== rt-app runs on GNU/Linux. It needs bash, autoconf, automake, libtool, libjson-c, GNU make and a recent compiler (tested on: gcc) for basic features. If your system has numactl (libnuma-dev) installed, numa features will be supported. ================= BUILDING json-c ================= If you are not happy using the version installed by your packaging system, if it does not provide static libraries and you need them, need to cross-compile, build it from source like this: retrieve source code available here: https://github.com/json-c/json-c cross-compile json-c and build both static and shared libraries for aarch64: export ac_cv_func_malloc_0_nonnull=yes export ac_cv_func_realloc_0_nonnull=yes ./autogen.sh ./configure --host=aarch64-linux-gnu --enable-shared --enable-static make ================= BUILDING numactl ================= If you are not happy using the version installed by your packaging system, if it does not provide static libraries and you need them, need to cross-compile, build it from source like this: retrieve source code available here: git clone https://github.com/numactl/numactl.git cross-compile numactl and build static libraries for aarch64: ./autogen.sh ./configure --host=aarch64-linux-gnu --disable-shared --enable-static make ================================ BUILDING AND INSTALLING rt-app ================================ VARIANT A) cross-compile a static rt-app for aarch64, using your own json-c and/or numactl build ---------------------------------------------------------------------- (...that wasn't installed (or not into the standard locations)) export ac_cv_lib_json_c_json_object_from_file=yes export ac_cv_lib_numa_numa_available=yes ./autogen.sh ./configure --host=aarch64-linux-gnu LDFLAGS="-L<absolute path to json repo> -L<absolute path to numactl repo>" CFLAGS="-I<path to parent of json-c repo> -I<path to parent of numactl repo>" --with-deadline AM_LDFLAGS="-all-static" make configure supports the usual flags, like `--help` and `--prefix`, there is an install target in the Makefile as well. `--with-deadline` enables support for SCHED_DEADLINE. EXAMPLE: with a directory structure like the following: $ tree -d -L 2 . ├── json-c │ ├── autoconf-archive │ ├── cmake │ ├── fuzz │ └── tests ├── numactl │ ├── m4 │ └── test └── rt-app ├── doc ├── libdl └── src you would run: cd rt-app export ac_cv_lib_json_c_json_object_from_file=yes export ac_cv_lib_numa_numa_available=yes ./autogen.sh ./configure --host=aarch64-linux-gnu LDFLAGS="-L$PWD/../json-c -L$PWD/../numactl" CFLAGS="-I$PWD/../" --with-deadline AM_LDFLAGS="-all-static" make and you should get a static rt-app executable in the src directory. VARIANT B) regular build of rt-app for your host against json-c in canonical locations --------------------------------------------------------------------------- (and installation with PREFIX=/usr/local) ./autogen.sh ./configure --with-deadline make make install ======= USAGE ======= $ rt-app [-l <log level>] <config_file> where config file is a full/relative path to a json file (look under doc/examples for examples) or "-" (without quotes) to read JSON data from stdin. Refer to file doc/tutorial.txt for information about how to write the json file.
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rt-app is a test application that starts multiple periodic threads in order to simulate a real-time periodic load. It supports SCHED_OTHER/SCHED_FIFO/SCHED_RR as well as the AQuoSA framework and SCHED_DEADLINE, developed at the Real Time Systems Laboratory of Scuola Superiore Sant'Anna (http://retis.sssup.it/)
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