Travelled to:1 × Austria
1 × Canada
1 × USA
Collaborated with:G.Graefe S.Idreos S.Manegold S.Krompass U.Dayal A.Kemper J.Tucek M.Lillibridge A.C.Veitch F.Halim J.L.Wiener K.Wilkinson E.A.Rundensteiner Y.Ra V.Crestana-Taube M.C.Jones P.J.Marrón H.Volos H.Kimura
Talks about:workload (2) control (2) memori (2) failur (2) manag (2) index (2) dynam (2) crack (2) adapt (2) what (2)
Person: Harumi A. Kuno
DBLP: Kuno:Harumi_A=
Contributed to:
2014
201320122011200920071996Wrote 8 papers:
- VLDB-2015-GraefeVKKTLV14 #big data #in memory #performance
- In-Memory Performance for Big Data (GG, HV, HK, HAK, JT, ML, ACV), pp. 37–48.
- SIGMOD-2013-GraefeLKTV
- Controlled lock violation (GG, ML, HAK, JT, ACV), pp. 85–96.
- VLDB-2012-GraefeHIKM #adaptation #concurrent
- Concurrency Control for Adaptive Indexing (GG, FH, SI, HAK, SM), pp. 656–667.
- VLDB-2012-GraefeK #database #detection
- Definition, Detection, and Recovery of Single-Page Failures, a Fourth Class of Database Failures (GG, HAK), pp. 646–655.
- VLDB-2011-IdreosMKG #adaptation #in memory #what
- Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores (SI, SM, HAK, GG), pp. 585–597.
- VLDB-2009-KrompassKWWDK
- A Testbed for Managing Dynamic Mixed Workloads (SK, HAK, JLW, KW, UD, AK), pp. 1562–1565.
- VLDB-2007-KrompassDKK #scalability
- Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls (SK, UD, HAK, AK), pp. 1105–1115.
- SIGMOD-1996-RundensteinerKRCJM #multi #object-oriented
- The MultiView Project: Object-Oriented View Technology and Applications (EAR, HAK, YGR, VCT, MCJ, PJM), p. 555.