Package: cbtool
# Welcome to the Cloud Rapid Experimentation and Analysis ToolkitCloud Rapid Experimentation and Analysis Tool (aka CBTOOL) is a framework that automates IaaS cloud benchmarking through the running of controlled experiments.[![Gitter](https://badges.gitter.im/ibmcb-project/community.svg)](https://gitter.im/ibmcb-project/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)Subscribe to our mailing list:Users:https://groups.google.com/forum/#!forum/cbtool-usersDevelopment:https://groups.google.com/forum/#!forum/cbtool-devel## New! CloudBench is now released as a component of [SPEC Cloud IaaS 2018](http://spec.org/cloud_iaas2018)## To get started:[Learn more about the tool](https://github.com/ibmcb/cbtool/wiki/DOC:-Table-of-Contents)[Perform the initial installation](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Initial-Installation)[Run the tool for the first time](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Running-the-tool-for-the-first-time)[Prepare your cloud to be driven by the tool](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Preparing-your-cloud-to-be-driven-by-CBTOOL)[Prepare a VM image to be used with the tool](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Preparing-a-VM-to-be-used-with-CBTOOL-on-a-real-cloud)====> [Are you impatient? Use our workloads instead.](https://github.com/ibmcb/cbtool/wiki/DOC:-Zero-configuration-(almost)-benchmarking-w–Nested-containers)[Deploy your first Virtual Application](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Deploy-your-first-virtual-application)[Run simple experiments](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Run-simple-experiments)[If needed, debug the initial setup](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Debug-initial-setup)[Configure CBTOOL to run outside of the cloud (or with multiple tenant networks)](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Run-the-CloudBench-orchestrator-outside-of-the-cloud-(or-with-multiple-tenant-networks))[Detailed instructions on how to use OpenVPN support](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Use-VPN-support-with-your-benchmarks)Look at some [auto generated plots](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Save-Monitoring-Data-on-the-Command-Line) made from the data collected.Read our latest paper [IC2E 2013](http://dl.acm.org/citation.cfm?id=2497243).Try administrating the tool with the [Graphical Environment](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Using-the-Graphical-Environment)Then try [monitoring your experiments with the Graphical Environment](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Monitoring-with-the-Graphical-Environment)Try to [customize your dashboard monitoring data with filters in the Graphical Environment](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Customize-Dashboard-Monitoring-in-the-Graphical-Environment)You can also try to use the [Graphical Wizard](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Using-the-Wizard-for-first-time-connection) for a first-time connection.Read the [Frequently Asked Questions](https://github.com/ibmcb/cbtool/wiki/FAQ)## Features:
- Automatic deployment and controlled execution of multiple multi-tier applications.
Each individual application can have a specific load profile using probability distributions.
- Adapters for multiple clouds (EC2 and OpenStack, among others), with a plugin structure that allows new cloud models to be added incrementally.
- Can orchestrate different arrival rates and lifetimes for VMs using probability distributions.
- Collects application and system (OS) performance data from hosts and guests in real time.
- It is designed from the ground up to be highly scalable and parallel.## <a name=”adapters”>[Supported Clouds](https://github.com/ibmcb/cbtool/wiki/DOC:-Supported-Clouds):Amazon EC2OpenStack (and RackSpace)Google Compute EngineDigitalOceanDocker/SwarmLXD/LXCKubernetesLibvirt+KVMVMWare vCloud (NOT actively maintained)CloudStack (NOT actively maintained)SoftLayerWant to add support for a new Cloud? Take a look at our [Frequently Asked Questions](https://github.com/ibmcb/cbtool/wiki/FAQ#development-)## <a name=”workloads”>[Supported Workloads](https://github.com/ibmcb/cbtool/wiki/DOC:-Supported-Virtual-Applications)To get the most current list, start CBTOOL and type`typelist`on the CLI. To get more information about a given workload,`typeshow <workload name>`:> (MYCLOUD) typelist> AIs with the following types can be attached to to this experiment (Cloud MYSIMCLOUD) :synthetic:bonnie (default, full)btest (default)coremark (default)ddgen (default)filebench (fileserver, oltp_noism, varmail, videoserver, webproxy)fio (default)iperf (tcp, udp)mlg (default)netperf (tcp_stream, tcp_maerts, udp_stream, tcp_rr, tcp_cc, tcp_crr, udp_rr)nuttcp (tcp, udp)postmark (default)unixbench (arithmetic, dhrystone, whetstone, load, misc, speed, oldsystem, system, fs, shell, index)xping (icmp)> application-stress:
1.  memtier (default)
2.  oldisim (default)
3.  wrk (default)> scientific:
1.  hpcc (default)
2.  linpack (default)
3.  multichase (simple, work:N, t0-2, nta, movdqa, mvntdqa, parallel2-10, critword:N, critword2:N)
4.  parboil (histo, bfs, stencil, mri-q, mri-gridding, lbm, tpacf, sad, spmv, sgemm, cutcp)
5.  scimark (default)> transactional:
1.  cassandra_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
2.  ibm_daytrader (default)
3.  mongo_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
4.  open_daytrader (default)
5.  redis_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
6.  specjbb (preset, hbir)
7.  sysbench (simple, complex, nontrx, sp)> data-centric:
1.  giraph (pagerank, topkpagerank)
2.  hadoop (sort, wordcount, terasort, dfsioe, nutchindexing, pagerank, bayes, kmeans, hivebench)> fake:
1.  nullworkload (default)Contacts:Marcio Silvamarcios@us.ibm.comMichael Galaxymgalaxy@akamai.com