Memory management techniques for large-scale persistent-main-memory systems

Research output: Contribution to journalConference articleContributedpeer-review

Contributors

  • Ismail Oukid - , TUD Dresden University of Technology, SAP Research (Author)
  • Daniel Booss - , SAP Research (Author)
  • Adrien Lespinasse - (Author)
  • Wolfgang Lehner - , Chair of Databases (Author)
  • Thomas Willhalm - , Intel (Author)
  • Grégoire Gomes - , INPG - Institut polytechnique de Grenoble (Author)

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 languageEnglish
Pages (from-to)1166-1177
Number of pages12
JournalProceedings of the VLDB Endowment
Volume10
Issue number11
Publication statusPublished - 1 Aug 2017
Peer-reviewedYes

Conference

Title43rd International Conference on Very Large Data Bases, VLDB 2017
Duration28 August - 1 September 2017
CityMunich
CountryGermany

External IDs

Scopus 85037046852
ORCID /0000-0001-8107-2775/work/142253487