TY - GEN
T1 - PM aware storage engine for MongoDB
AU - Hershcovitch, Moshik
AU - Eres, Revital
AU - McPadden, Adam
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/4
Y1 - 2018/6/4
N2 - With the maturity of Persistant Memories (PM) such as storage class memory technologies, e.g., STT-MRAM, PCM, ReRAM and 3DXpoint, we expect to see practical implementation of data structures, data stores and databases for use-cases such as IoT, mobile, and cloud. We developed a PM-aware storage engine for MongoDB which leverages PM hardware capabilities such as byte addressability and persistency. With our storage engine we see improved latency, less write amplification, less capacity and simpler implementation due to the fact that some code paths become unnecessary compared to past implementations.
AB - With the maturity of Persistant Memories (PM) such as storage class memory technologies, e.g., STT-MRAM, PCM, ReRAM and 3DXpoint, we expect to see practical implementation of data structures, data stores and databases for use-cases such as IoT, mobile, and cloud. We developed a PM-aware storage engine for MongoDB which leverages PM hardware capabilities such as byte addressability and persistency. With our storage engine we see improved latency, less write amplification, less capacity and simpler implementation due to the fact that some code paths become unnecessary compared to past implementations.
KW - Database Architecture
KW - Storage Class Memory
KW - Storage Engine
UR - http://www.scopus.com/inward/record.url?scp=85051372665&partnerID=8YFLogxK
U2 - 10.1145/3211890.3211912
DO - 10.1145/3211890.3211912
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AN - SCOPUS:85051372665
T3 - SYSTOR 2018 - Proceedings of the 11th ACM International Systems and Storage Conference
SP - 123
BT - SYSTOR 2018 - Proceedings of the 11th ACM International Systems and Storage Conference
PB - Association for Computing Machinery, Inc
T2 - 11th ACM International Systems and Storage Conference, SYSTOR 2018
Y2 - 4 June 2018 through 6 June 2018
ER -