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8 results for “DBMS”

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zenodo44/100

King Louie: DBMS Availability Evaluation Data Sets

<p>These&nbsp;data&nbsp;sets provide&nbsp;all&nbsp;availability&nbsp;measurements&nbsp;as&nbsp;accompanying&nbsp;material&nbsp;for&nbsp;the&nbsp;research&nbsp;paper&nbsp;<strong><em>King</em> </strong><em><strong>Louie: Reproducible Availability Benchmarking of Cloud-hosted DBMS</strong>&nbsp;</em>that is presented in the&nbsp;35th ACM/SIGAPP Symposium on Applied Computing (SAC &rsquo;20), March 30-April 3, 2020, Brno, Czech Republic.</p> <p>&nbsp;</p> <p>&nbsp;</p>

openapache2.0Sep 2019View details →
zenodo44/100

Mowgli: DBMS Performance & Scalability Evaluation Data Sets

<p>These data sets contain the performance and scalability&nbsp;&nbsp;evaluation data created by the&nbsp;<a href="https://omi-gitlab.e-technik.uni-ulm.de/mowgli/getting-started">Mowgli</a>&nbsp;framework for Apache Cassandra and Couchbase, operated on a private Openstack and the Amazon EC2 cloud.</p>

openapache2.0Oct 2019View details →
zenodo40/100

Mowgli: DBMS Elasticity Evaluation Data Sets

<p>These data sets contain the complete DBMS evaluation data created by the&nbsp;<a href="https://omi-gitlab.e-technik.uni-ulm.de/mowgli/getting-started">Mowgli</a>&nbsp;framework for the&nbsp;<em>calibration</em>&nbsp;and&nbsp;<em>elasticity</em>&nbsp;phases.</p> <p><em>Calibration phase:</em>&nbsp;performance/latency metrics for growing workload intensities issued against a fixed three node DBMS cluster.</p> <p><em>Elasticity phase:</em>&nbsp;performance/latency metrics during an elastic scale-out adaptation (i.e. adding one additional DBMS node to the cluster at runtime) for different workload intensities.</p>

openapache2.0Aug 2019View details →
zenodo36/100

Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS

<p>These&nbsp;data&nbsp;sets&nbsp;contain the performance measurements and additional metadata&nbsp; as&nbsp;accompanying&nbsp;material&nbsp;for&nbsp;the&nbsp;research&nbsp;paper <strong>Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS</strong><em>&nbsp;</em>that is published in&nbsp;the&nbsp;<em>Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2020.</em></p> <p>The attached readme describes the data set structure.</p>

openapache2.0May 2020View details →
zenodo36/100

Cloud-hosted DBMS Performance, Scalability and Availability Evaluation Data

<p>These data sets contain evaluation data for the evaluation objectives performance, scalability and availability of different cloud-hosted, distributed DBMS.&nbsp;</p> <p>The data sets contain the raw performance metrics, monitoring data and evaluation metadata. For the higher-level evaluation objectives scalability and availability, supportive plots are provided.</p> <p><br> The performance and scalability evaluations have been carried out with the <a href="https://dl.acm.org/doi/10.1145/3297663.3310303">Mowgli framework</a>&nbsp;and the availability evaluation have been carried out with the <a href="https://dl.acm.org/doi/abs/10.1145/3341105.3373968">King Louie framework</a>.</p>

openapache2.0Jun 2020View details →
zenodo36/100

CNN-Driven DBMS Estimation from Aeromagnetic Data and Applications in Southern Peninsular India

<p>Datasets for the manuscript titled&nbsp;</p> <pre><span>CNN-trained </span><span>centroid</span><span> method for estimating Depth to the Bottom of the Magnetic Sources (DBMS) and its application to the south Indian shield</span></pre>

opencc-by-4.0Dec 2024View details →
zenodo32/100

Performance Results of a Containerized MongoDB DBMS

<p>These&nbsp;data&nbsp;sets&nbsp;contain the performance measurements of different containerized MongoDB deployments. They are supplemental to the research paper&nbsp;<a href="https://link.springer.com/chapter/10.1007/978-3-030-10549-5_8">The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS</a>&nbsp;that has been presented at the Euro-Par Workshops 2018.&nbsp;</p> <p>The attached readme further describes the data set structure.</p>

openapache2.0Jun 2020View details →
zenodo28/100

Hathi: An MCDM-based Approach for the Capacity Planning of Cloud-hosted DBMS — Data Sets

<p>These data sets provide supplemental material for the paper &quot;Hathi: An MCDM-based Approach for<br> the Capacity Planning of Cloud-hosted DBMS&quot; submitted to the 13th IEEE/ACM International<br> Conference on Utility and Cloud Computing.</p>

openapache2.0Aug 2020View details →

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DANDI Archive for NWB datasets

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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Last verified 2026-04-29Open record