Memory management techniques for large-scale persistent-main-memory systems
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
Storage Class Memory (SCM) is a novel class of memory technologies that promise to revolutionize database architectures. SCM is byte-addressable and exhibits latencies similar to those of DRAM, while being non-volatile. Hence, SCM could replace both main memory and storage, enabling a novel single-level database architecture without the traditional I/O bottleneck. Fail-safe persistent SCM allocation can be considered conditio sine qua non for enabling this novel architecture paradigm for database management systems. In this paper we present PAllocator, a fail-safe persistent SCM allocator whose design emphasizes high concurrency and capacity scalability. Contrary to previous works, PAllocator thoroughly addresses the important challenge of persistent memory fragmentation by implementing an effcient defragmentation algorithm. We show that PAllocator outperforms state-of-the-art persistent allocators by up to one order of magnitude, both in operation throughput and recovery time, and enables up to 2.39x higher operation throughput on a persistent B-Tree.
Details
Original language | English |
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Pages (from-to) | 1166-1177 |
Number of pages | 12 |
Journal | Proceedings of the VLDB Endowment |
Volume | 10 |
Issue number | 11 |
Publication status | Published - 1 Aug 2017 |
Peer-reviewed | Yes |
Conference
Title | 43rd International Conference on Very Large Data Bases, VLDB 2017 |
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Duration | 28 August - 1 September 2017 |
City | Munich |
Country | Germany |
External IDs
Scopus | 85037046852 |
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ORCID | /0000-0001-8107-2775/work/142253487 |