Merge remote-tracking branch 'upstream/master'

Author: Florian Lautenschlager

_includes/nav.html

@@ -2,7 +2,7 @@
 <nav class="navbar navbar-default navbar-fixed-top">
 
     <div class="ribbon">
-        <a href="https://github.com/chronixDB">Fork me on GitHub</a>
+        <a href="https://github.com/chronixDB">Star me on GitHub</a>
     </div>
 
     <div class="container">

_includes/publications.html

@@ -15,7 +15,11 @@ <h2>Publications</h2>
                 </p>
                 <h4>2017</h4>
                 <ul>
-                    <li>Chronix: Long Term Storage and Retrieval Technology for Anomaly Detection in Operational Data, FAST, 2017</li>
+                    <li>Chronix: Long Term Storage and Retrieval Technology for Anomaly Detection in Operational Data, FAST, 2017
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/chronix-long-term-storage-and-retrieval-technology-for-anomaly-detection-in-operational-data">Slides</a>
+                        <a href="https://www.usenix.org/system/files/conference/fast17/fast17-lautenschlager.pdf">Paper</a>
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/chronix-poster-for-the-poster-session-fast-2017">Poster</a>
+                    </li>
                 </ul>
                 <br>
                 <h4>2016</h4>
@@ -28,22 +32,22 @@ <h4>2016</h4>
                         <a href="http://www.slideshare.net/QAware/time-series-analysis-67281407">Slides</a>
                     </li>
                     <li>The new time series kid on the block, Apache Big Data North America, 2016,
-                        <a href="https://speakerdeck.com/florian_lautenschlager/the-new-time-series-kid-on-the-block">Slides</a>
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/the-new-time-series-kid-on-the-block">Slides</a>
                     </li>
                     <li>Time Series Processing with Apache Spark, Apache Big Data North America, 2016,
                         <a href="http://www.slideshare.net/adersberger/time-series-processing-with-apache-spark">Slides</a>
                     </li>
                     <li>Chronix – A fast and efficient time series storage based on Apache Solr, Open Source Data Center
                         Conference, 2016,
-                        <a href="https://speakerdeck.com/florian_lautenschlager/chronix-a-fast-and-efficient-time-series-storage-based-on-apache-solr">Slides</a>
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/chronix-a-fast-and-efficient-time-series-storage-based-on-apache-solr">Slides</a>
                     </li>
                 </ul>
-
+                <br>
                 <h4>2015</h4>
                 <ul>
                     <li>Fast and efficient operational time series storage: The missing link in dynamic software
                         analysis, Symposium on Software Performance, 2015,
-                        <a href="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf">Slides</a>
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/efficient-and-fast-time-series-storage-the-missing-link-in-dynamic-software-analysis">Slides</a>
                     </li>
                     <li>Open Source Project Chronix: An efficient and fast time series database based on Apache Solr,
                         2015,
@@ -53,7 +57,7 @@ <h4>2015</h4>
                         <a href="http://qaware.blogspot.de/2015/02/apache-solr-as-compressed-scalable-and.html">Blog</a>
                     </li>
                     <li>Apache Solr as a compressed, scalable and high performance time series database, FOSDEM, 2015,
-                        <a href="https://speakerdeck.com/florian_lautenschlager/apache-solr-as-a-compressed-scalable-and-high-performance-time-series-database">Slides</a>
+                        <a href="https://de.slideshare.net/FlorianLautenschlage/apache-solr-as-a-compressed-scalable-and-high-performance-time-series-database">Slides</a>
                     </li>
                 </ul>
             </div>