From c99582aded8e2a8905bb18268815641d78c67a6a Mon Sep 17 00:00:00 2001
From: Nick Molcanov <32801560+nck-mlcnv@users.noreply.github.com>
Date: Thu, 13 Jun 2024 14:24:58 +0200
Subject: [PATCH] Fix symlink

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-<p align="center">
-    <img src="https://github.com/dice-group/IGUANA/raw/develop/images/IGUANA_logo.png" alt="IGUANA Logo" width="200">
-</p>
-
-# IGUANA
-Iguana is a benchmarking framework for testing the read performances of HTTP endpoints.
-It is mostly designed for benchmarking triplestores by using the SPARQL protocol.
-Iguana stresstests endpoints by simulating users which send a set of queries independently of each other.
-
-Benchmarks are configured using a YAML-file, this allows them to be easily repeated and adjustable.
-Results are stored in RDF-files and can also be exported as CSV-files.
-
-## Features
-- Benchmarking of (SPARQL) HTTP endpoints
-- Reusable configuration
-- Calculation of various metrics for better comparisons
-- Processing of HTTP responses (e.g., results counting)
-
-## Setup
-
-### Prerequisites
-You need to have `Java 17` or higher installed.
-On Ubuntu it can be installed by executing the following command:
-
-```bash
-sudo apt install openjdk-17-jre
-``` 
-
-### Download
-The latest release can be downloaded at https://github.com/dice-group/IGUANA/releases/latest.
-The zip file contains three files:
-
-* `iguana-4.0.0.jar`
-* `example-suite.yml`
-* `start-iguana.sh`
-
-### Configuration
-The `example-suite.yml` file contains an extensive configuration for a benchmark suite.
-It can be used as a starting point for your own benchmark suite.
-For a detailed explanation of the configuration, see the [configuration](./configuration/overview.md) documentation.
-
-## Usage
-Start Iguana with a benchmark suite (e.g., the `example-suite.yml`) either by using the start script:
-
-```bash
-./start-iguana.sh example-suite.yml
-```
-
-or by directly executing the jar-file:
-
-```bash
-java -jar iguana-4.0.0.jar example-suite.yml
-```
-
-If you're using the script, you can use JVM arguments by setting the environment variable `IGUANA_JVM`.
-For example, to let Iguana use 4GB of RAM you can set `IGUANA_JVM` as follows:
-
-```bash
-export IGUANA_JVM=-Xmx4g
-```
-
-# How to Cite
-
-```bibtex
-@InProceedings{10.1007/978-3-319-68204-4_5,
-author="Conrads, Lixi
-and Lehmann, Jens
-and Saleem, Muhammad
-and Morsey, Mohamed
-and Ngonga Ngomo, Axel-Cyrille",
-editor="d'Amato, Claudia
-and Fernandez, Miriam
-and Tamma, Valentina
-and Lecue, Freddy
-and Cudr{\'e}-Mauroux, Philippe
-and Sequeda, Juan
-and Lange, Christoph
-and Heflin, Jeff",
-title="Iguana: A Generic Framework for Benchmarking the Read-Write Performance of Triple Stores",
-booktitle="The Semantic Web -- ISWC 2017",
-year="2017",
-publisher="Springer International Publishing",
-address="Cham",
-pages="48--65",
-abstract="The performance of triples stores is crucial for applications driven by RDF. Several benchmarks have been proposed that assess the performance of triple stores. However, no integrated benchmark-independent execution framework for these benchmarks has yet been provided. We propose a novel SPARQL benchmark execution framework called Iguana. Our framework complements benchmarks by providing an execution environment which can measure the performance of triple stores during data loading, data updates as well as under different loads and parallel requests. Moreover, it allows a uniform comparison of results on different benchmarks. We execute the FEASIBLE and DBPSB benchmarks using the Iguana framework and measure the performance of popular triple stores under updates and parallel user requests. We compare our results (See https://doi.org/10.6084/m9.figshare.c.3767501.v1) with state-of-the-art benchmarking results and show that our benchmark execution framework can unveil new insights pertaining to the performance of triple stores.",
-isbn="978-3-319-68204-4"
-}
-```
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