TY - JOUR
T1 - Monopedia
T2 - 43rd International Conference on Very Large Data Bases, VLDB 2017
AU - Schüle, Maximilian E.
AU - Schliski, Pascal M.N.
AU - Hutzelmann, Thomas
AU - Rosenberger, Tobias
AU - Leis, Viktor
AU - Vorona, Dimitri
AU - Kemper, Alfons
AU - Neumann, Thomas
N1 - Publisher Copyright:
© 2017 VLDB.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - In order to handle the database load for web scale applications, the conventional wisdom is that a cluster of database servers and a caching layer are essential. In this work, we argue that modern main memory database systems are often fast enough to consolidate this complex architecture into a single server (plus an additional fail over system). To demonstrate this claim, we design the Monopedia Benchmark, a benchmark for web scale applications modeled after Wikipedia. Using this benchmark, we show that it is indeed possible to run the database workload of one of the largest web sites in the world on a single database server.
AB - In order to handle the database load for web scale applications, the conventional wisdom is that a cluster of database servers and a caching layer are essential. In this work, we argue that modern main memory database systems are often fast enough to consolidate this complex architecture into a single server (plus an additional fail over system). To demonstrate this claim, we design the Monopedia Benchmark, a benchmark for web scale applications modeled after Wikipedia. Using this benchmark, we show that it is indeed possible to run the database workload of one of the largest web sites in the world on a single database server.
UR - http://www.scopus.com/inward/record.url?scp=85036618430&partnerID=8YFLogxK
U2 - 10.14778/3137765.3137809
DO - 10.14778/3137765.3137809
M3 - Conference article
AN - SCOPUS:85036618430
SN - 2150-8097
VL - 10
SP - 1921
EP - 1924
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
IS - 12
Y2 - 28 August 2017 through 1 September 2017
ER -