2024-03-29T11:37:56Z
https://zenodo.org/oai2d
oai:zenodo.org:4344415
2021-01-08T20:17:48Z
user-chameleon
Xinyu Liu
2020-09-09
This notebook reproduces a simple benchmark experiment that trains a convolutional neural network based on the MNIST dataset. In particular, the neural network is built and trained with PyTorch.
MNIST is a database with 60,000 training images and 10,000 testing images that contains hand-written digits. Please see http://yann.lecun.com/exdb/mnist/ for more details.
https://doi.org/10.5281/zenodo.4344415
oai:zenodo.org:4344415
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4344414
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Training MNIST benchmark with PyTorch
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4048744
2020-09-25T00:26:50Z
user-chameleon
Jason Anderson
2020-08-21
Used for the Chameleon paper.
https://doi.org/10.5281/zenodo.4048744
oai:zenodo.org:4048744
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4048743
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Jupyter usage metric exploration
info:eu-repo/semantics/workingPaper
oai:zenodo.org:3709794
2020-09-04T17:19:41Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains instance events and machine events for the bare-metal clouds on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-06-17T17:54:29.000Z until 2019-11-01T00:41:54.000Z. </li>
<li>The epoch time for timestamps is 2015-06-08T00:00:00.</li>
<li>It follows <strong>version 0.3</strong> of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709794
oai:zenodo.org:3709794
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709716
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
Chameleon bare metal cloud traces (2019-11-01)
info:eu-repo/semantics/other
oai:zenodo.org:3463620
2020-07-02T18:59:38Z
user-chameleon
Jason Anderson
2019-09-27
[JupyterHub](https://jupyter.org/hub) is a multi-user Jupyter Notebook environment that allows easy management of multiple Notebook servers. You can install this application on a node reserved by Chameleon to allow you to take advantage of additional resources, e.g. a private experiment network you provide or accelerator devices such as GPUs.
This appliance is exposed over the public internet via a TLS-secured endpoint and supports other users logging in with their Chameleon credentials, so you can choose to share the server with other collaborators if you wish.
https://doi.org/10.5281/zenodo.3463620
oai:zenodo.org:3463620
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3463619
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
jupyter
jupyterhub
Chameleon JupyterHub Appliance
info:eu-repo/semantics/other
oai:zenodo.org:3470256
2020-07-02T18:59:38Z
user-chameleon
Jason Anderson
2019-09-27
[JupyterHub](https://jupyter.org/hub) is a multi-user Jupyter Notebook environment that allows easy management of multiple Notebook servers. You can install this application on a node reserved by Chameleon to allow you to take advantage of additional resources, e.g. a private experiment network you provide or accelerator devices such as GPUs.
This appliance is exposed over the public internet via a TLS-secured endpoint and supports other users logging in with their Chameleon credentials, so you can choose to share the server with other collaborators if you wish.
https://doi.org/10.5281/zenodo.3470256
oai:zenodo.org:3470256
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3463619
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
jupyter
jupyterhub
Chameleon JupyterHub Appliance
info:eu-repo/semantics/other
oai:zenodo.org:3709901
2020-09-04T17:12:39Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-09-06T23:31:16.000Z until 2017-06-14T21:34:50.000Z.</li>
<li>It follows version 0.1 of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709901
oai:zenodo.org:3709901
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709900
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
kvm
Chameleon KVM cloud traces (2017-08-02)
info:eu-repo/semantics/other
oai:zenodo.org:6582389
2022-07-10T01:48:41Z
user-chameleon
Anderson, Jason
2022-07-10
<p>This deposition contains some additional details for those interested in more specifics about the implementation of federated identity in Chameleon, as described in the paper "Migrating towards Single Sign-On and Federated Identity", presented at PEARC'22.</p>
<p><strong>Keystone configuration</strong></p>
<p>Each CHI Keystone deployment implements Keystone federation, with a mapping defined by the attached file `idp_mapping.json`. It contains two mappings; Keystone will pick the first satisfied. For this reason, the more specific mapping (which includes more information about the projects, e.g., their nicknames) is listed first. Two mappings are necessary because some applications do not support the OIDC claims structure in use here (for more information: https://diurnal.st/2021/07/17/openstack-keystone-federation-part-1.html)</p>
<p><strong>JupyterHub configuration</strong></p>
<p>OAuthenticator is used, configured as a Keycloak client. One important note is that in Keycloak we configure additional "mappers" on this client. For each OpenStack Keystone client we have configured in the realm, we add this client as an additional audience for JupyterHub client tokens. Refer to "keycloak-mappers-list-console" to see how the mappers are added to the client, and "keycloak-add-audience-console" for how each mapper is added/configured. The end result of this is that each token issued on behalf of this client has an "aud" claim w/ multiple values: one for itself, and one for each Keystone client. Keystone is usually configured with mod_auth_openidc performing the OIDC protocol handshakes and this library understands that when it sees tokens with its client in the audience list, that token should be considered valid, even if it wasn't issued by its client. This allows a JupyterHub token to work against any of our Keystone servers.</p>
<p>On login, we store the user's Keycloak access token in their JupyterHub session and additionally place it on the env for their spawned server. However, these tokens are short-lived: for this reason we additionally define a handler ("oidc-refresh-token-handler.py"), which is hosted by the Hub and provides a mechanism for the individual notebook servers to request a new token without having knowledge of the client secret.</p>
https://doi.org/10.5281/zenodo.6582389
oai:zenodo.org:6582389
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.6582388
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
PEARC, Practice & Experience in Advanced Research Computing, Boston, MA, 2022
openstack
keystone
keycloak
federation
Migrating towards Single Sign-On and Federated Identity (PEARC'22): Notes and Sample Configurations
info:eu-repo/semantics/technicalDocumentation
oai:zenodo.org:4321980
2020-12-15T17:36:50Z
user-chameleon
Michael Sherman
2020-12-15
This shows how to use the API to find nodes with a given hardware device, then create a lease, and reserve said node.
This specific example finds nodes with the micron 5300 SSD.
https://doi.org/10.5281/zenodo.4321980
oai:zenodo.org:4321980
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4321979
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
HW based node reservation
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4343400
2021-01-08T20:17:52Z
user-chameleon
Isabel Brunkan
2020-08-21
This package replicates TensorFlow's MNIST tutorial, serving as a way to get hands-on experience with Chameleon and the basics of machine learning.
https://doi.org/10.5281/zenodo.4343400
oai:zenodo.org:4343400
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4343399
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
MNIST TensorFlow Tutorial
info:eu-repo/semantics/workingPaper
oai:zenodo.org:3885662
2020-06-08T18:31:51Z
user-chameleon
Jason Anderson
2020-06-08
This example illustrates how to create a reproducible experiment in power management and describes tools available within the Chameleon base images, as well as the orchestration and snapshot capabilities.
https://doi.org/10.5281/zenodo.3885662
oai:zenodo.org:3885662
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3885661
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
experiment
example
power
Chameleon power management experiment example
info:eu-repo/semantics/other
oai:zenodo.org:4345863
2021-01-08T20:17:44Z
user-chameleon
Atlas Quan
Yusuf Rahmat Pratama
2020-09-14
FlyMC is a a fast and scalable testing approach for datacenter/cloud systems such as Cassandra, Hadoop, Spark, and ZooKeeper, developed by [UCARE lab](https://ucare.cs.uchicago.edu/). You can learn more about it from the [paper](https://ucare.cs.uchicago.edu/projects/FlyMC/).
In this experiment, you will play with FlyMC to catch the [Cassandra bug-5925](https://issues.apache.org/jira/browse/CASSANDRA-5925) step by step. Later if you are still interested, you can try the other 4 cassandra bugs, as long as 2 zookeeper bugs, 1 mapreduce bug and 1 spark bug.
https://doi.org/10.5281/zenodo.4345863
oai:zenodo.org:4345863
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4345862
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Use FlyMC to explore the DC bugs
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4344391
2021-01-08T20:17:49Z
user-chameleon
Xinyu Liu
2020-09-09
This notebook reproduces Figure 1 of the DAWNBench experiment with Tensorflow. DAWNBench is a project at Stanford University that introduces a benchmark and competition that focused on end-to-end training time for a model to reach a fixed accuracy level. The paper is available at https://dawn.cs.stanford.edu/benchmark/papers/nips17-dawnbench.pdf. Figure 1 (the graph that we reproduce here) shows the relationship between the accuracy level and the end-to-end training time for three different batch sizes.
https://doi.org/10.5281/zenodo.4344391
oai:zenodo.org:4344391
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4344390
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Reproducing Figure 1 of DAWNBench with TensorFlow
info:eu-repo/semantics/workingPaper
oai:zenodo.org:3993323
2020-08-21T17:53:21Z
user-chameleon
Isabel Brunkan
2020-08-20
This notebook illustrates how to create a reproducible experiment using machine learning libraries, models, and datasets and describes tools available within Chameleon and OpenStack.
https://doi.org/10.5281/zenodo.3993323
oai:zenodo.org:3993323
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3993322
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
AlexNet Experiment
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4048747
2020-09-25T00:26:50Z
user-chameleon
Jason Anderson
2020-08-21
Used for the Chameleon paper.
https://doi.org/10.5281/zenodo.4048747
oai:zenodo.org:4048747
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4048743
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Jupyter usage metric exploration
info:eu-repo/semantics/workingPaper
oai:zenodo.org:3709945
2020-09-04T17:12:40Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-09-17T15:37:05.000Z until 2018-12-17T15:56:16.000Z.</li>
<li>The epoch time for timestamps is 2015-09-17T00:00:00.</li>
<li>It follows version 0.2 of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709945
oai:zenodo.org:3709945
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709900
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
kvm
Chameleon KVM cloud traces (2018-12-17)
info:eu-repo/semantics/other
oai:zenodo.org:4015338
2020-09-05T00:59:24Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-09-04
<p>This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This is the last set of traces for the KVM cloud built in 2015 in a file "chameleon_legacy_kvm_tacc_2020_02_03.zip". Chameleon deprecated the legacy KVM site in February 2020 and future versions of this deposition will not include this historical trace data.</li>
<li>This trace contains data from 2015-09-17T15:37:05.000Z until 2020-02-03T06:23:40.000Z.</li>
<li>The epoch time for timestamps is 2015-09-06T00:00:00.</li>
<li>It follows version 0.3 of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.4015338
oai:zenodo.org:4015338
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709900
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
kvm
Chameleon KVM cloud traces (2020-09-04)
info:eu-repo/semantics/other
oai:zenodo.org:3463622
2019-09-27T20:13:36Z
user-chameleon
Jason Anderson
2019-09-27
This simple appliance allows you to easily reserve a bare metal node with a GPU accelerator (availability permitting).
https://doi.org/10.5281/zenodo.3463622
oai:zenodo.org:3463622
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3463621
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
jupyter
gpu
Chameleon GPU Appliance
info:eu-repo/semantics/other
oai:zenodo.org:4088575
2020-10-14T15:34:44Z
user-chameleon
Paul Ruth
Francois Halbach
2020-10-14
This appliance is part of a Quick Start guide used to become familiar with using OpenFlow on Chameleon.
https://doi.org/10.5281/zenodo.4088575
oai:zenodo.org:4088575
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4088574
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
experiment
example
networking
openflow
sdn
Chameleon Bring Your Own Controller (BYOC) example
info:eu-repo/semantics/other
oai:zenodo.org:4343352
2021-01-08T20:17:54Z
user-chameleon
Isabel Brunkan
2020-08-21
This notebook illustrates how to create a reproducible experiment using machine learning libraries, models, and datasets and describes tools available within Chameleon and OpenStack. It replicates a Network in Network model implementation found on Kaggle and reproduces the original Network in Network model.
https://doi.org/10.5281/zenodo.4343352
oai:zenodo.org:4343352
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4343351
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Network-in-Network Experiment
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4593806
2021-03-11T00:27:24Z
user-chameleon
Paul Ruth
2021-01-26
Many computer science experiments require increased control of the wide area network, include everything from guaranteed quality of service to low-level network programability using software defined networking. Chameleon provides these capabilities though direct low-level network connection between the research and public clouds, however creating them is challenging. While most public clouds provide low-level networking services (e.g. AWS Direct Connect, Azure ExpressRoute, or Google Dedicated Interconnect), using them is typically expensive; on the research cloud side, they can involve complicated campus network configuration arrangements that often limit access to this type of experimental configuration to a few a few select scientists or campus IT staff themselves.
This Jupyter notebook walks through the deployment of an experiment spanning Chameleon and AWS using CloudConnect. It deploys the network, compute servers, and a fully configured BGP router. Further, the BGP router can, optionally, be deployed on a dedicated OpenFlow networking switch or as software Quagga router existing on a standard x86 compute host. The full networking configuration is depicted in the figure below.
https://doi.org/10.5281/zenodo.4593806
oai:zenodo.org:4593806
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.4593805
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Overcast - AWS CloudConnect
info:eu-repo/semantics/workingPaper
oai:zenodo.org:4015358
2020-09-05T00:59:24Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-09-04
<p>This cloud trace contains instance events and machine events for the bare-metal clouds on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-06-17T17:54:29.000Z until 2020-09-03T01:51:34.000Z. </li>
<li>The epoch time for timestamps is 2015-06-17T00:00:00.</li>
<li>It follows <strong>version 0.3</strong> of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.4015358
oai:zenodo.org:4015358
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709716
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
Chameleon bare metal cloud traces (2020-09-03)
info:eu-repo/semantics/other
oai:zenodo.org:3709717
2020-09-04T17:19:41Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains instance events and machine events for the bare-metal cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information. This trace contains data from 2015-06-17T17:54:29.000Z until 2019-11-01T00:41:54.000Z. The epoch time for timestamps is 2015-06-08T00:00:00. It follows <strong>version 0.3</strong> of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</p>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709717
oai:zenodo.org:3709717
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709716
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
Chameleon CHI@UC cloud trace (2019-11-01)
info:eu-repo/semantics/other
oai:zenodo.org:3928715
2020-07-02T18:59:40Z
user-chameleon
Jason Anderson
2019-09-27
[JupyterHub](https://jupyter.org/hub) is a multi-user Jupyter Notebook environment that allows easy management of multiple Notebook servers. You can install this application on a node reserved by Chameleon to allow you to take advantage of additional resources, e.g. a private experiment network you provide or accelerator devices such as GPUs.
This appliance is exposed over the public internet via a TLS-secured endpoint and supports other users logging in with their Chameleon credentials, so you can choose to share the server with other collaborators if you wish.
https://doi.org/10.5281/zenodo.3928715
oai:zenodo.org:3928715
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3463619
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
jupyter
jupyterhub
Chameleon JupyterHub Appliance
info:eu-repo/semantics/other
oai:zenodo.org:3709918
2020-09-04T17:12:40Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-09-06T23:31:16.000Z until 2018-11-06T20:30:46.000Z.</li>
<li>It follows version 0.1 of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709918
oai:zenodo.org:3709918
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709900
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
kvm
Chameleon KVM cloud traces (2018-11-06)
info:eu-repo/semantics/other
oai:zenodo.org:3709958
2020-09-04T17:12:40Z
user-chameleon
openaire_data
Zhen, Zhuo
Keahey, Kate
2020-03-13
<p>This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information.</p>
<ul>
<li>This trace contains data from 2015-09-17T15:37:05.000Z until 2019-10-31T17:50:59.000Z.</li>
<li>The epoch time for timestamps is 2015-09-06T00:00:00.</li>
<li>It follows version 0.3 of the <a href="http://press3.mcs.anl.gov/scienceclouds/cloud-traces/cloud-trace-format/">cloud trace format</a>.</li>
</ul>
<p>You can find more information and trace datasets at <a href="https://www.scienceclouds.org/cloud-traces">Science Clouds</a>.</p>
Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
https://doi.org/10.5281/zenodo.3709958
oai:zenodo.org:3709958
Zenodo
https://zenodo.org/communities/chameleon
https://doi.org/10.5281/zenodo.3709900
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
chameleon
cloud trace
kvm
Chameleon KVM cloud traces (2019-11-01)
info:eu-repo/semantics/other