Mira: Sharing Resources for Distributed Analytics at Small Timescales
| dc.contributor.author | Kaufmann, Michael | |
| dc.contributor.author | Kourtis, Kornilios | |
| dc.contributor.author | Schuepbach, Adrian | |
| dc.contributor.author | Zitterbart, Martina | |
| dc.contributor.editor | David, Klaus | |
| dc.contributor.editor | Geihs, Kurt | |
| dc.contributor.editor | Lange, Martin | |
| dc.contributor.editor | Stumme, Gerd | |
| dc.date.accessioned | 2019-08-27T12:55:23Z | |
| dc.date.available | 2019-08-27T12:55:23Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Mira is a system for optimized elastic execution of short-running and interactive dataanalytics applications with low-latency execution startup, fast resource management and efficient resource utilization on shared clusters. We highlight the key insights and the Mira approach and summarize the most important results. | en |
| dc.identifier.doi | 10.18420/inf2019_36 | |
| dc.identifier.isbn | 978-3-88579-688-6 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/24984 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-294 | |
| dc.subject | Data Science | |
| dc.subject | Distributed Analytics | |
| dc.subject | Elastic Computing | |
| dc.title | Mira: Sharing Resources for Distributed Analytics at Small Timescales | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 266 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 265 | |
| gi.conference.date | 23.-26. September 2019 | |
| gi.conference.location | Kassel | |
| gi.conference.sessiontitle | Data Science |
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