Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Per Fuchs"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:1173-1186
Despite the wide adoption of graph processing across many different application domains, there is no underlying data structure that can serve a variety of graph workloads (analytics, traversals, and pattern matching) on dynamic graphs with transactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461c95b2f2ad76639aa68b2fb64a0a42
https://doi.org/10.14778/3514061.3514065
https://doi.org/10.14778/3514061.3514065
Publikováno v:
Proceedings of the VLDB Endowment. 14:2271-2272
In our paper [4], we experimentally evaluated our work, Teseo, together with five other systems under the LDBC Graphalytics benchmark [6]. We developed and publicly released [2] an ad-hoc driver for the purpose. Since the time the paper was published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66afb778a3162ab5a7abdb49e661967c
https://doi.org/10.14778/3476249.3476278
https://doi.org/10.14778/3476249.3476278
Publikováno v:
GRADES-NDA@SIGMOD
We describe the design and implementation of EdgeFrame: a graph-specialized Spark DataFrame that caches the edges of a graph in compressed form on all worker nodes of a cluster, and provides a fast and scalable Worst-Case-Optimal Join (WCOJ) that is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2d5faa6ac5b7de319ef41adb2e485c
https://ir.cwi.nl/pub/30125
https://ir.cwi.nl/pub/30125
