This dataset includes over 6.8M performance measurements collected on the CloudLab testbed. For more information about *how* and *why* it is collected, please refer to the "Taming Performance Variability" paper (https://www.usenix.org/system/files/osdi18-maricq.pdf). For additional information about CPU measurements, you can refer to: https://www.flux.utah.edu/download?uid=288. The dataset is split into 3 files, for CPU (2.0M records), memory (4.3M records), and disk (664K) results. All these records were exported from the live database dedicated to this benchmarking project on 02/23/2020. -------------- Contributors: - Dmitry Duplyakin - Alexandru Uta - Aleksander Maricq - Robert Ricc
Abstract—The Cloud has enabled the computing model to shift from traditional data centers to publicl...
How can applications be deployed on the cloud to achieve maximum performance? This question has beco...
With the availability of a wide range of cloud Virtual Machines (VMs) it is difficult to determine w...
This dataset includes over 6.4M performance measurements collected on the CloudLab testbed. For more...
This dataset includes over 2.4M CPU performance measurements collected on the CloudLab testbed. For ...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
This dataset includes over 2.2M performance measurements collected on the CloudLab testbed. Performa...
The increasing popularity of cloud computing and various options have manifolded over time. The fore...
This repository contains our raw datasets and notebooks for analyzing performance results of benchma...
Cloud benchmarking has become a hot topic in cloud computing research. The idea to attach performanc...
<div>The emergence of large-scale Internet applications and services has driven a surge in research ...
Providers of computing services such as data science clouds need to maintain large hardware infrastr...
All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. ...
When deploying an application in the cloud, a developer often wants to know which of the wide varie...
How can applications be deployed on the cloud to achieve maximum performance? This question is chall...
Abstract—The Cloud has enabled the computing model to shift from traditional data centers to publicl...
How can applications be deployed on the cloud to achieve maximum performance? This question has beco...
With the availability of a wide range of cloud Virtual Machines (VMs) it is difficult to determine w...
This dataset includes over 6.4M performance measurements collected on the CloudLab testbed. For more...
This dataset includes over 2.4M CPU performance measurements collected on the CloudLab testbed. For ...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
This dataset includes over 2.2M performance measurements collected on the CloudLab testbed. Performa...
The increasing popularity of cloud computing and various options have manifolded over time. The fore...
This repository contains our raw datasets and notebooks for analyzing performance results of benchma...
Cloud benchmarking has become a hot topic in cloud computing research. The idea to attach performanc...
<div>The emergence of large-scale Internet applications and services has driven a surge in research ...
Providers of computing services such as data science clouds need to maintain large hardware infrastr...
All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. ...
When deploying an application in the cloud, a developer often wants to know which of the wide varie...
How can applications be deployed on the cloud to achieve maximum performance? This question is chall...
Abstract—The Cloud has enabled the computing model to shift from traditional data centers to publicl...
How can applications be deployed on the cloud to achieve maximum performance? This question has beco...
With the availability of a wide range of cloud Virtual Machines (VMs) it is difficult to determine w...