Metadata-Version: 2.1
Name: cbtool
Version: 3.0.4
Summary: CloudBench: Cloud Rapid Experimentation and Analysis Toolkit
Home-page: https://github.com/ibmcb/cbtool
Author: Marcio Silva, Michael Galaxy
Author-email: cbtool-admin@googlegroups.com
License: UNKNOWN
Download-URL: https://github.com/ibmcb/cbtool/archive/3.0.tar.gz
Description: # Welcome to the Cloud Rapid Experimentation and Analysis Toolkit
        
        Cloud 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-users
        
        - Development: 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:
        
        1. [Learn more about the tool](https://github.com/ibmcb/cbtool/wiki/DOC:-Table-of-Contents)
        
        2. [Perform the initial installation](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Initial-Installation)
        
        3. [Run the tool for the first time](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Running-the-tool-for-the-first-time)
        
        4. [Prepare your cloud to be driven by the tool](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Preparing-your-cloud-to-be-driven-by-CBTOOL)
        
        5. [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)
        
        6. [Deploy your first Virtual Application](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Deploy-your-first-virtual-application)
        
        7. [Run simple experiments](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Run-simple-experiments)
        
        8. [If needed, debug the initial setup](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Debug-initial-setup)
        
        9. [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))
        
            1. [Detailed instructions on how to use OpenVPN support](https://github.com/ibmcb/cbtool/wiki/HOWTO:-Use-VPN-support-with-your-benchmarks)
            
        10. 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.
        
        11. Read our latest paper [IC2E 2013](http://dl.acm.org/citation.cfm?id=2497243).
        
        12. Try administrating the tool with the [Graphical Environment](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Using-the-Graphical-Environment)
        
            1. Then try [monitoring your experiments with the Graphical Environment](https://github.ibm.com/marcios/cbtool/wiki/HOWTO:-Monitoring-with-the-Graphical-Environment)
        
            2. 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)
        
            3. 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.
        
        13. 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):
        
        1. Amazon EC2
        2. OpenStack (and RackSpace)
        3. Google Compute Engine 
        4. DigitalOcean
        5. Docker/Swarm
        6. LXD/LXC
        7. Kubernetes
        8. Libvirt+KVM
        9. VMWare vCloud (NOT actively maintained)
        10. CloudStack (NOT actively maintained)
        11. SoftLayer
        
        Want 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) :
        
        1. synthetic:
        2.  bonnie (default, full)
        3.   btest (default)
        4.  coremark (default)
        5.  ddgen (default)
        6.  filebench (fileserver, oltp_noism, varmail, videoserver, webproxy)
        7.  fio (default)
        8.  iperf (tcp, udp)
        9.  mlg (default)
        10.  netperf (tcp_stream, tcp_maerts, udp_stream, tcp_rr, tcp_cc, tcp_crr, udp_rr)
        11.  nuttcp (tcp, udp)
        12.  postmark (default)
        13.  unixbench (arithmetic, dhrystone, whetstone, load, misc, speed, oldsystem, system, fs, shell, index)
        14.  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 Silva marcios@us.ibm.com
        Michael Galaxy mrhines@digitalocean.com
        
Keywords: cloudbench,cloud,benchmarking,spec
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
