Cloud Rapid Experimentation and Analysis Toolkit #cloud
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binaries/common/linux Cloud Rapid Experimentation and Analysis Tool first public commit (by Nov 12, 2012
clients Example asynchronous attachment May 19, 2018
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docker Bugfix for SPECCloud (Hadoop/KMeans) where Docker is used without Jul 12, 2018
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regression Parallel Multi-Application Regression Test Jun 5, 2018
scenarios Features and bugfixes: Oct 3, 2017
scripts change comment Jul 18, 2018
util cloud-init: shrink the size of userdata Jul 11, 2018
.gitignore Features and Bugfixes: Mar 28, 2017
.sparkleshare Small bugfix for Redis automated install on PUBLIC_dependencies.txt Aug 12, 2014
README.md Update README.md Apr 19, 2018
SparkleShare.txt Small bugfix for Redis automated install on PUBLIC_dependencies.txt Aug 12, 2014
cb - Enhancement: Move the CB history file to the home directory so that… Oct 5, 2017
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cbdocker Image building and initial installation improvements Mar 1, 2018
cbssh Improvements and bugfixes Nov 5, 2015
configure Fix the lack of log messages for actuators (async operations/API) Feb 28, 2018
exclude_list.txt Features and Bugfixes: Mar 28, 2017
install Improvements and bugfixes Nov 5, 2015
pre_install.sh Single-line bugfix for SoftLayer cloud adapter Oct 23, 2017
start-cb start-cb script Jun 30, 2014

README.md

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.

Subscribe to our mailing list:

New! CloudBench is now released as a component of SPEC Cloud IaaS 2016

To get started:

  1. Learn more about the tool

  2. Perform the initial installation

  3. Run the tool for the first time

  4. Prepare your cloud to be driven by the tool

  5. Prepare a VM image to be used with the tool

  6. Deploy your first Virtual Application

  7. Run simple experiments

  8. If needed, debug the initial setup

  9. Configure CBTOOL to run outside of the cloud (or with multiple tenant networks)

    1. Detailed instructions on how to use OpenVPN support
  10. Look at some auto generated plots made from the data collected.

  11. Read our latest paper IC2E 2013.

  12. Try administrating the tool with the Graphical Environment

    1. Then try monitoring your experiments with the Graphical Environment

    2. Try to customize your dashboard monitoring data with filters in the Graphical Environment

    3. You can also try to use the Graphical Wizard for a first-time connection.

  13. Read the Frequently Asked Questions

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.

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

Supported Workloads

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:
  memtier (default)
  oldisim (default)
  wrk (default)

scientific:
  hpcc (default)
  linpack (default)
  multichase (simple, work:N, t0-2, nta, movdqa, mvntdqa, parallel2-10, critword:N, critword2:N)
  parboil (histo, bfs, stencil, mri-q, mri-gridding, lbm, tpacf, sad, spmv, sgemm, cutcp)
  scimark (default)

transactional:
  cassandra_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
  ibm_daytrader (default)
  mongo_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
  open_daytrader (default)
  redis_ycsb (workloada, workloadb, workloadc, workloadd, workloade, workloadf)
  specjbb (preset, hbir)
  sysbench (simple, complex, nontrx, sp)

data-centric:
  giraph (pagerank, topkpagerank)
  hadoop (sort, wordcount, terasort, dfsioe, nutchindexing, pagerank, bayes, kmeans, hivebench)

fake:
  nullworkload (default)

Contacts:

Marcio Silva marcios@us.ibm.com Michael R. Hines mrhines@digitalocean.com