{ "info": { "author": "OpenStack", "author_email": "openstack-discuss@lists.openstack.org", "bugtrack_url": null, "classifiers": [ "Environment :: OpenStack", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved :: Apache Software License", "Operating System :: MacOS", "Operating System :: POSIX :: Linux", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7" ], "description": "========\nOverview\n========\n\nVMTP is a data path performance measurement tool for OpenStack clouds.\n\n\nFeatures\n--------\n\nHave you ever had the need for a quick, simple and automatable way to get VM-level or host-level single-flow throughput and latency numbers from any OpenStack cloud, and take into account various Neutron topologies? Or check whether some OpenStack configuration option, Neutron plug-in performs to expectation or if there is any data path impact for upgrading to a different OpenStack release?\n\nVMTP is a small python application that will automatically perform ping connectivity, round trip time measurement (latency) and TCP/UDP throughput measurement for the following East/West flows on any OpenStack deployment:\n\n* VM to VM same network (private fixed IP, flow #1)\n* VM to VM different network using fixed IP (same as intra-tenant L3 fixed IP, flow #2)\n* VM to VM different network using floating IP and NAT (same as floating IP inter-tenant L3, flow #3)\n\nOptionally, when an external Linux host is available for testing North/South flows:\n\n* External host/VM download and upload throughput/latency (L3/floating IP, flow #4 and #5)\n\n.. image:: images/flows.png\n\nOptionally, when SSH login to any Linux host (native or virtual) is available:\n\n* Host to host process-level throughput/latency (intra-node and inter-node)\n\nOptionally, VMTP can extract automatically CPU usage from all native hosts in the cloud during the throughput tests, provided the Ganglia monitoring service (gmond) is installed and enabled on those hosts.\n\nFor VM-related flows, VMTP will automatically create the necessary OpenStack resources (router, networks, subnets, key pairs, security groups, test VMs) using the public OpenStack API, install the test tools then orchestrate them to gather the throughput measurements then cleanup all related resources before exiting.\n\nSee the usage page for the description of all the command line arguments supported by VMTP.\n\nOnline Documentation\n--------------------\nThe complete documentation for VMTP including installation and usage guide is available at http://vmtp.readthedocs.io/en/latest\n\n\nPre-requisite\n-------------\n\nVMTP runs on any Python 2.X envirnment (validated on Linux and MacOSX).\n\nFor VM related performance measurements\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n* Access to the cloud Horizon Dashboard (to retrieve the openrc file)\n* 1 working external network pre-configured on the cloud (VMTP will pick the first one found)\n* At least 2 floating IP if an external router is configured or 3 floating IP if there is no external router configured\n* 1 Linux image available in OpenStack (any distribution)\n* A configuration file that is properly set for the cloud to test (see \"Configuration File\" section below)\n\nFor native/external host throughputs\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n* A public key must be installed on the target hosts (see ssh password-less access below)\n\nFor pre-existing native host throughputs\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n* Firewalls must be configured to allow TCP/UDP ports 5001 and TCP port 5002\n\n\nSample Results Output\n---------------------\n\nVMTP will display the results to stdout with the following data:\n\n.. code::\n\n Summary of results\n ==================\n Total Scenarios: 22\n Passed Scenarios: 17 [100.00%]\n Failed Scenarios: 0 [0.00%]\n Skipped Scenarios: 5\n +----------+--------------------------------------------------+-------------------+----------------------------------------------------------------------------------+\n | Scenario | Scenario Name | Functional Status | Data |\n +----------+--------------------------------------------------+-------------------+----------------------------------------------------------------------------------+\n | 1.1 | Same Network, Fixed IP, Intra-node, TCP | PASSED | {'tp_kbps': '19262752', 'rtt_ms': '0.38'} |\n | 1.2 | Same Network, Fixed IP, Intra-node, UDP | PASSED | {128: {'tp_kbps': 243360, 'loss_rate': 0.0}, 1024: {'tp_kbps': 1790414, |\n | | | | 'loss_rate': 0.0}, 8192: {'tp_kbps': 9599648, 'loss_rate': 0.0}} |\n | 1.3 | Same Network, Fixed IP, Intra-node, ICMP | PASSED | {'rtt_avg_ms': '0.385', 'rtt_min_ms': '0.237', 'rtt_max_ms': '0.688', |\n | | | | 'rtt_stddev': '0.156'} |\n | 2.1 | Same Network, Fixed IP, Inter-node, TCP | PASSED | {'tp_kbps': '5987943', 'rtt_ms': '0.49'} |\n | 2.2 | Same Network, Fixed IP, Inter-node, UDP | PASSED | {128: {'tp_kbps': 240518, 'loss_rate': 0.0}, 1024: {'tp_kbps': 1804851, |\n | | | | 'loss_rate': 0.0}, 8192: {'tp_kbps': 3074557, 'loss_rate': 0.04}} |\n | 2.3 | Same Network, Fixed IP, Inter-node, ICMP | PASSED | {'rtt_avg_ms': '0.601', 'rtt_min_ms': '0.507', 'rtt_max_ms': '0.846', |\n | | | | 'rtt_stddev': '0.126'} |\n | 3.1 | Different Network, Fixed IP, Intra-node, TCP | PASSED | {'tp_kbps': '7308597', 'rtt_ms': '0.68'} |\n | 3.2 | Different Network, Fixed IP, Intra-node, UDP | PASSED | {128: {'tp_kbps': 194764, 'loss_rate': 4.88}, 1024: {'tp_kbps': 1587951, |\n | | | | 'loss_rate': 3.39}, 8192: {'tp_kbps': 2666969, 'loss_rate': 0.0}} |\n | 3.3 | Different Network, Fixed IP, Intra-node, ICMP | PASSED | {'rtt_avg_ms': '0.689', 'rtt_min_ms': '0.638', 'rtt_max_ms': '0.761', |\n | | | | 'rtt_stddev': '0.053'} |\n | 4.1 | Different Network, Fixed IP, Inter-node, TCP | PASSED | {'tp_kbps': '8487326', 'rtt_ms': '0.713333'} |\n | 4.2 | Different Network, Fixed IP, Inter-node, UDP | PASSED | {128: {'tp_kbps': 200641, 'loss_rate': 0.0}, 1024: {'tp_kbps': 1198920, |\n | | | | 'loss_rate': 30.54}, 8192: {'tp_kbps': 2657355, 'loss_rate': 0.0}} |\n | 4.3 | Different Network, Fixed IP, Inter-node, ICMP | PASSED | {'rtt_avg_ms': '0.710', 'rtt_min_ms': '0.674', 'rtt_max_ms': '0.729', |\n | | | | 'rtt_stddev': '0.025'} |\n | 5.1 | Different Network, Floating IP, Intra-node, TCP | PASSED | {'tp_kbps': '7462958', 'rtt_ms': '0.676667'} |\n | 5.2 | Different Network, Floating IP, Intra-node, UDP | PASSED | {128: {'tp_kbps': 188808, 'loss_rate': 2.34}, 1024: {'tp_kbps': 1513660, |\n | | | | 'loss_rate': 0.0}, 8192: {'tp_kbps': 2586232, 'loss_rate': 0.0}} |\n | 5.3 | Different Network, Floating IP, Intra-node, ICMP | PASSED | {'rtt_avg_ms': '0.592', 'rtt_min_ms': '0.477', 'rtt_max_ms': '0.663', |\n | | | | 'rtt_stddev': '0.065'} |\n | 6.1 | Different Network, Floating IP, Inter-node, TCP | PASSED | {'tp_kbps': '8486828', 'rtt_ms': '0.663333'} |\n | 6.2 | Different Network, Floating IP, Inter-node, UDP | PASSED | {128: {'tp_kbps': 190434, 'loss_rate': 0.12}, 1024: {'tp_kbps': 1518300, |\n | | | | 'loss_rate': 0.0}, 8192: {'tp_kbps': 2569370, 'loss_rate': 0.0}} |\n | 6.3 | Different Network, Floating IP, Inter-node, ICMP | PASSED | {'rtt_avg_ms': '0.674', 'rtt_min_ms': '0.657', 'rtt_max_ms': '0.702', |\n | | | | 'rtt_stddev': '0.015'} |\n | 7.1 | Native Throughput, TCP | SKIPPED | {} |\n | 7.2 | Native Throughput, UDP | SKIPPED | {} |\n | 7.3 | Native Throughput, ICMP | SKIPPED | {} |\n | 8.1 | VM to Host Uploading | SKIPPED | {} |\n | 8.2 | VM to Host Downloading | SKIPPED | {} |\n +----------+--------------------------------------------------+-------------------+----------------------------------------------------------------------------------+\n\nDetailed results can also be stored in a file in JSON format using the *--json* command line argument and/or stored directly into a MongoDB server. See `example.json `_ for an example JSON file that is generated by VMTP.\n\nThe packaged python tool genchart.py can be used to generate from the JSON result files column charts in HTML format visible from any browser.\n\nExample of column chart generated by genchart.py:\n\n.. image:: images/genchart-sample.png\n\n\nLimitations and Caveats\n-----------------------\n\nVMTP only measures performance for single-flows at the socket/TCP/UDP level (in a VM or natively). Measured numbers therefore reflect what most applications will see.\n\nIt is not designed to measure driver level data path performance from inside a VM (such as bypassing the kernel TCP stack and write directly to virtio), there are better tools that can address this type of mesurement.\n\nVMTP ships with pre-built binaries that will run on most x86_64 Linux VMs (which is the vast majority of copute nodes) - see Licensing. Running VMTP on compute nodes that have a different CPU architecture will require rebuilding these binaries for the proper target.\n\nLicensing\n---------\n\nVMTP is licensed under Apache License 2.0 and comes packaged with the following Linux x86_64 binaries for convenience:\n\n* iperf 2.0.5: BSD License (https://iperf.fr/license.html, built from source code: https://sourceforge.net/projects/iperf/files/iperf-2.0.5.tar.gz/download)\n* nuttcp: GPL v2 License (http://nuttcp.net/nuttcp/beta/LICENSE, built from source code: http://nuttcp.net/nuttcp/beta/nuttcp-7.3.2.c)\n\nRedistribution of nuttcp and iperf is governed by their respective licenses. Please make sure you read and understand each one before further redistributing VMTP downstream.\n\nRequired legal attachment for iperf binary distribution \n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\niperf 2.0.5: built from source code: https://sourceforge.net/projects/iperf/files/iperf-2.0.5.tar.gz/download\n\n(extract from the COPYING file as required by the iperf license, the full copy of the LICENSE is provided under legal/iperf)\nCopyright (c) 1999-2007, The Board of Trustees of the University of Illinois\nAll Rights Reserved.\n\nIperf performance test\nMark Gates\nAjay Tirumala\nJim Ferguson\nJon Dugan\nFeng Qin\nKevin Gibbs\nJohn Estabrook\nNational Laboratory for Applied Network Research\nNational Center for Supercomputing Applications\nUniversity of Illinois at Urbana-Champaign\nhttp://www.ncsa.uiuc.edu\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software (Iperf) and associated documentation files (the \"Software\"),\nto deal in the Software without restriction, including without limitation the\nrights to use, copy, modify, merge, publish, distribute, sublicense, and/or\nsell copies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nRedistributions of source code must retain the above copyright notice, this\nlist of conditions and the following disclaimers.\n\nRedistributions in binary form must reproduce the above copyright notice, this\nlist of conditions and the following disclaimers in the documentation and/or\nother materials provided with the distribution.\n\nNeither the names of the University of Illinois, NCSA, nor the names of its\ncontributors may be used to endorse or promote products derived from this\nSoftware without specific prior written permission. THE SOFTWARE IS PROVIDED\n\"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT\nLIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE\nAND NONINFRINGEMENT. IN NO EVENT SHALL THE CONTIBUTORS OR COPYRIGHT HOLDERS BE\nLIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF\nCONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nRequired legal attachment for nuttcp binary distribution \n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nnuttcp 7.3.2c: GPL v2 License (http://nuttcp.net/nuttcp/beta/LICENSE, built from unmodified source code: http://nuttcp.net/nuttcp/beta/nuttcp-7.3.2.c)\nA copy of the LICENSE file and source code (unmodifed) is provided in this repository (under legal/nuttcp), as required by the nuttcp license.\n\nExtract of interest related to the binary attachment:\n\n1. You may copy and distribute verbatim copies of the Program's\nsource code as you receive it, in any medium, provided that you\nconspicuously and appropriately publish on each copy an appropriate\ncopyright notice and disclaimer of warranty; keep intact all the\nnotices that refer to this License and to the absence of any warranty;\nand give any other recipients of the Program a copy of this License\nalong with the Program.\n\n2. (Provision does not apply since the code is unmodified)\n\n3. 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