@@ -15,32 +15,35 @@ <h2>Publications</h2>
1515 </ p >
1616 < br >
1717
18- < h4 > 2014</ h4 >
19- < ul >
20- < li > < a href ="https://github.com/ChronixDB/chronix.server/releases "> Chronix Server</ a > </ li >
21- < li > < a href ="https://github.com/ChronixDB/chronix.kassiopeia/releases "> Chronix Kassiopeia
22- (Format)</ a >
23- < li > < a href ="https://github.com/ChronixDB/chronix.storage/releases "> Chronix Storage</ a >
24- < li > < a href ="https://github.com/ChronixDB/chronix.spark/releases "> Chronix Spark</ a >
25- </ ul >
26-
2718 < h4 > 2015</ h4 >
2819 < ul >
29- < li > Apache Solr as a compressed, scalable and high performance time series database, FOSDEM, 2015.
30- Link: < br >
31- < a href =" https://archive.fosdem.org/2015/schedule/event/apache_solr_as_a_compressed,_scalable_and_high_performance_time_series_database/ " > Slides </ a > </ li >
20+ < li > Apache Solr as a compressed, scalable and high performance time series database, FOSDEM, 2015
21+ < a href =" https://speakerdeck.com/florian_lautenschlager/apache-solr-as-a-compressed-scalable-and-high-performance-time-series-database " > Slides </ a >
22+ </ li >
3223 < li > Fast and efficient operational time series storage: The missing link in dynamic software
33- analysis, Symposium on Software Performance, 2015. < br >
34- < a href ="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf "> Slides</ a > </ li >
24+ analysis, Symposium on Software Performance, 2015
25+ < a href ="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf "> Slides</ a >
26+ </ li >
27+ < li > Open Source Project Chronix: An efficient and fast time series database based on Apache Solr,
28+ 2015
29+ < a href ="http://qaware.blogspot.de/2015/12/open-source-project-chronix-efficient.html "> Blog</ a >
30+ </ li >
31+ < li > Apache Solr as a compressed, scalable, and high performance time series database, 2015
32+ < a href ="http://qaware.blogspot.de/2015/02/apache-solr-as-compressed-scalable-and.html "> Blog</ a >
33+ </ li >
3534 </ ul >
3635
3736 < h4 > 2016</ h4 >
3837 < ul >
3938 < li > Chronix – A fast and efficient time series storage based on Apache Solr, Open Source Data Center
40- Conference, 2016. < br >
41- Link: < a href ="/ "> Comming Soon</ a > </ li >
42- < li > The new time series kid on the block, Apache Con: Big Data, 2016.
43- < a href ="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf "> Slides</ a > </ li >
39+ Conference, 2016.
40+ < a href ="/ "> Soon</ a > </ li >
41+ < li > The new time series kid on the block, Apache Big Data, 2016
42+ < a href ="/ "> Soon</ a >
43+ </ li >
44+ < li > Time Series Processing with Apache Spark, Apache Big Data, 2016
45+ < a href ="/ "> Soon</ a >
46+ </ li >
4447 </ ul >
4548 </ div >
4649 </ div >
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