CloudBench: Cloud Rapid Experimentation and Analysis Toolkit
Project 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.
Subscribe to our mailing list:
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Development: https://groups.google.com/forum/#!forum/cbtool-devel
New! CloudBench is now released as a component of SPEC Cloud IaaS 2018
To get started:
====> Are you impatient? Use our workloads instead.
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Configure CBTOOL to run outside of the cloud (or with multiple tenant networks)
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Look at some auto generated plots made from the data collected.
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Read our latest paper IC2E 2013.
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Try administrating the tool with the Graphical Environment
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Then try monitoring your experiments with the Graphical Environment
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Try to customize your dashboard monitoring data with filters in the Graphical Environment
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You can also try to use the Graphical Wizard for a first-time connection.
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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:
- Amazon EC2
- OpenStack (and RackSpace)
- Google Compute Engine
- DigitalOcean
- Docker/Swarm
- LXD/LXC
- Kubernetes
- Libvirt+KVM
- VMWare vCloud (NOT actively maintained)
- CloudStack (NOT actively maintained)
- 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 Galaxy mrhines@digitalocean.com
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