6 papers:
SIGMOD-2015-WangZZS #in memory #named- SharkDB: An In-Memory Storage System for Massive Trajectory Data (HW, KZ, XZ, SWS), pp. 1099–1104.
CIKM-2014-WangZXZZS #in memory #named- SharkDB: An In-Memory Column-Oriented Trajectory Storage (HW, KZ, JX, BZ, XZ, SWS), pp. 1409–1418.
- SIGMOD-2013-XinRZFSS #named #scalability #sql
- Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.
- SIGMOD-2012-EngleLXZFSS #data analysis #distributed #memory management #named #performance #using
- Shark: fast data analysis using coarse-grained distributed memory (CE, AL, RX, MZ, MJF, SS, IS), pp. 689–692.
DATE-2005-ZorianFWESGR #industrial #question- Semiconductor Industry Disaggregation vs Reaggregation: Who Will be the Shark? (YZ, BF, DW, JE, GS, MG, KNR), p. 572.
HT-2001-Bernstein #hypermedia #tool support- Card shark and thespis: exotic tools for hypertext narrative (MB), pp. 41–50.
