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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:
+
+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:
+
+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
+
+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.
+
+
+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.