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index.html
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{% extends "base.html" %}
{% load static %}
{% block content %}
<div class="container">
<div class="row">
<div class="col-md-8">
<div class="page-header">
<h1>
<small>End-to-End Toolkit to Evaluate Time Series Database Systems</small>
</h1>
</div>
<p>
SEER is an online tool to evaluate the performance of time series database systems on large
datasets. This tool was created at the <a href="http://exascale.info/">eXascale Infolab</a>, a research group
at the <a href="http://www.unifr.ch/">University of Fribourg</a>, Switzerland. <br>
This work was done under the supervision of <a href="https://exascale.info/members/mourad-khayati/"> Dr. Mourad Khayati</a>.
</p>
</div>
</div>
<div class="row">
<div class="col-md-8">
<hr>
<h3><strong>SEER</strong></h3>
<p>
SEER is an online tool for evaluating the performance of seven Time Series Database Systems (TSDBs) using
a mixed set of workloads.
The tool builds upon our
<a href="https://dl.acm.org/doi/pdf/10.14778/3611479.3611532">TSM-Bench</a> benchmark.
SEER implements an end-to-end pipeline for database benchmarking,
from data generation and workload evaluation to feature contamination.
</p>
<hr>
<h3><strong>Features</strong></h3><br>
<div class="row">
<div class="col-md-3">
<p><b>Datasets:</b></p>
<ul>
<li><a href='{% url "datasets" %}'>Display</a></li>
<li><a href='{% url "datasets-generation" %}'>Generation</a></li>
</ul>
</div>
<div class="col-md-4">
<p><b>Workloads Evaluation:</b></p>
<ul>
<li><a href='{% url "offline-queries" %}'>Offline Queries</a></li>
<li><a href='{% url "online-queries" %}'>Online Queries</a></li>
<li><a href='{% url "live-queries" %}'>System Deployment</a></li>
</ul>
</div>
<div class="col-md-5">
<p><b>Feature Impact</b></p>
<ul>
<li><a href='{% url "compression" %}'>Compression</a></li>
</ul>
</div>
</div>
<hr>
<h3><strong>Publications</strong></h3>
<ol>
<li>Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe
Cudré-Mauroux.<strong>“TSM-Bench: Benchmarking Time Series Database Systems for Monitoring
Applications.” </strong> In <i>Proceedings of the VLDB Endowment</i>, Vol. 16, 2023
</li>
<li>Luca Althaus, Mourad Khayati,Abdelouahab Khelifati, Anton Dignös, Djellel Difallah, and Philippe
Cudré-Mauroux.<strong>“SEER: An End-to-End Toolkit for Benchmarking Time Series
Database Systems in Monitoring Applications.” </strong> In <i>Proceedings of the VLDB Endowment</i>, Vol. 17, 2024
</li>
</ol>
</div>
</div>
</div>
{% endblock %}