Implications of non-volatile memory as primary storage for database management systems
2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)
164 - 171
Item Usage Stats
Traditional Database Management System (DBMS) software relies on hard disks for storing relational data. Hard disks are cheap, persistent, and offer huge storage capacities. However, data retrieval latency for hard disks is extremely high. To hide this latency, DRAM is used as an intermediate storage. DRAM is significantly faster than disk, but deployed in smaller capacities due to cost and power constraints, and without the necessary persistency feature that disks have. Non-Volatile Memory (NVM) is an emerging storage class technology which promises the best of both worlds. It can offer large storage capacities, due to better scaling and cost metrics than DRAM, and is non-volatile (persistent) like hard disks. At the same time, its data retrieval time is much lower than that of hard disks and it is also byte-addressable like DRAM. In this paper, we explore the implications of employing NVM as primary storage for DBMS. In other words, we investigate the modifications necessary to be applied on a traditional relational DBMS to take advantage of NVM features. As a case study, we have modified the storage engine (SE) of PostgreSQL enabling efficient use of NVM hardware. We detail the necessary changes and challenges such modifications entail and evaluate them using a comprehensive emulation platform. Results indicate that our modified SE reduces query execution time by up to 40% and 14.4% when compared to disk and NVM storage, with average reductions of 20.5% and 4.5%, respectively. © 2016 IEEE.
Data storage equipment
Dynamic random access storage
Management information systems
Relational database systems
Query execution time
Published Version (Please cite this version)http://dx.doi.org/10.1109/SAMOS.2016.7818344
Showing items related by title, author, creator and subject.
Hybrid stacked memory architecture for energy efficient embedded chip-multiprocessors based on compiler directed approach Onsori, Salman; Asad, A.; Öztürk, Özcan; Fathy, M. (IEEE, 2015-12)Energy consumption becomes the most critical limitation on the performance of nowadays embedded system designs. On-chip memories due to major contribution in overall system energy consumption are always significant issue ...
Onsori, Salman; Asad, Arghavan A; Raahemifar, K.; Fathy, M. (IEEE, 2016-01)In this article, we present a convex optimization model to design a three dimension (3D)stacked hybrid memory system to improve performance in the dark silicon era. Our convex model optimizes numbers and placement of static ...
Kayhan, E.; Andonova, S. M.; Şentürk, G. S.; Chusuei, C. C.; Ozensoy, E. (American Chemical Society, 2010)Fe promoted NOx storage materials were synthesized in the form of FeOx/BaO/Al2O3 ternary oxides with varying BaO (8 and 20 wt %) and Fe (5 and 10 wt %) contents. Synthesized NOx storage materials were investigated via TEM, ...