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-Qtip Compute testcases
-======================
-============
-Introduction
-============
-
-The QTIP testing suite aims to benchmark the compute components of an OPNFV platform.
-Such components include, the CPU performance, the memory performance.
-Additionally virtual computing performance provided by the Hypervisor (KVM) installed as part of OPNFV platforms would be benhmarked too.
-
-The test suite consists of both synthetic and application specific benchmarks to test compute components.
-
-All the compute benchmarks could be run in 2 scenarios:
-
-1. On Baremetal Machines provisioned by an OPNFV installer (Host machines)
-2. On Virtual Machines brought up through OpenStack on an OPNFV platform
-
-Note: The Compute benchmark suite constains relatively old benchmarks such as dhrystone and whetstone. The suite would be updated for better benchmarks such as Linbench for the OPNFV C release.
-
-============
-Benchmarks
-============
-
-
-The benchmarks include:
-
-1. Dhrystone 2.1
-
-Dhrystone is a synthetic benchmark for measuring CPU performance. It uses integer calculations to evaluate CPU capabilities.
-Both Single CPU performance is measured along multi-cpu performance.
-
-
-Dhrystone, however, is a dated benchmark and has some short comings.
-Written in C, it is a small program that doesn't test the CPU memory subsystem. Additionally, dhrystone results could be modified by optimizing the compiler and insome cases hardware configuration.
-
-References: http://www.eembc.org/techlit/datasheets/dhrystone_wp.pdf
-
-2. Whetstone
-
-Whetstone is a synthetic benchmark to measure CPU floating point operation performance. Both Single CPU performance is measured along multi-cpu performance.
-
-Like Dhrystone, Whetstone is a dated benchmark and has short comings.
-
-References: http://www.netlib.org/benchmark/whetstone.c
-
-3. OpenSSL Speed
-
-OpenSSL Speed can be used to benchmark compute performance of a machine. In QTIP, two OpenSSL Speed benchmarks are incorporated:
-1. RSA signatures/sec signed by a machine
-2. AES 128-bit encryption throught for a machine for cipher block sizes
-
-References: https://www.openssl.org/docs/manmaster/apps/speed.html
-
-4. RAMSpeed
-
-RAMSpeed is used to measure a machine's memory perfomace. The problem(array)size is large enough to ensure Cache Misses so that the main machine memory is used. INTmem and FLOATmem benchmarks are executed in 4 different scenarios:
-
-a. Copy: a(i)=b(i)
-b. Add: a(i)=b(i)+c(i)
-c. Scale: a(i)=b(i)*d
-d. Triad: a(i)=b(i)+c(i)*d
-
-INTmem uses integers in these four benchmarks whereas FLOATmem uses floating points for these benchmarks.
-
-References: http://alasir.com/software/ramspeed/, https://www.ibm.com/developerworks/community/wikis/home?lang=en#!/wiki/W51a7ffcf4dfd_4b40_9d82_446ebc23c550/page/Untangling+memory+access+measurements
-
-5. DPI
-
-nDPI is a modified variant of OpenDPI, Open source Deep packet Inspection, that is maintained by ntop.
-An example application called *pcapreader* has been developed and is available for use along nDPI.
-
-A sample .pcap file is passed to the *pcapreader* application. nDPI classifies traffic in the pcap file into different categories based on string matching . The *pcapreader* application provides a throughput number for the rate at which traffic was classified, indicating a machine's computational performance. The results are run 10 times and an average is taken for the obtained number.
-
-References: http://www.ntop.org/products/deep-packet-inspection/ndpi/, http://www.ntop.org/wp-content/uploads/2013/12/nDPI_QuickStartGuide.pdf