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6+ < h2 > Publications</ h2 >
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12+ < p >
13+ If you want to know more about Chronix you can check out our various publications about Chronix.
14+ Below you can find an chronological ordered list with links to the talks, papers, and blog entries.
15+ </ p >
16+ < br >
17+
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+
27+ < h4 > 2015</ h4 >
28+ < 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 >
32+ < 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 >
35+ </ ul >
36+
37+ < h4 > 2016</ h4 >
38+ < ul >
39+ < 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 >
44+ </ ul >
45+ </ div >
46+ </ div >
47+ </ div >
48+ </ section >
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