TY - GEN
T1 - Evaluating compressed indexes in DBMS
AU - Anani, Oz
AU - Lushi, Gal
AU - Hershcovitch, Moshik
AU - Morrison, Adam
N1 - Publisher Copyright: © 2022 Owner/Author.
PY - 2022/6/6
Y1 - 2022/6/6
N2 - In-memory database management systems (DBMSs) are an essential part of real-world applications. They store their entire data in memory, and thus their performance is much higher than standard DBMS that uses slow block-based storage. The memory footprint is the essential resource in such systems, while the database indexes consume a large portion of the memory and can reach up to 50% of total memory consumption [2].
AB - In-memory database management systems (DBMSs) are an essential part of real-world applications. They store their entire data in memory, and thus their performance is much higher than standard DBMS that uses slow block-based storage. The memory footprint is the essential resource in such systems, while the database indexes consume a large portion of the memory and can reach up to 50% of total memory consumption [2].
UR - http://www.scopus.com/inward/record.url?scp=85133356429&partnerID=8YFLogxK
U2 - 10.1145/3534056.3535006
DO - 10.1145/3534056.3535006
M3 - منشور من مؤتمر
T3 - SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference
SP - 149
BT - SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference
T2 - 15th ACM International Systems and Storage Conference, SYSTOR 2022
Y2 - 13 June 2022 through 15 June 2022
ER -