Towards a Native Architecture of In-NVM DBMS

Кузнецов, С. Д.

doi:10.1109/apsse47353.2019.00017

Cited by 3 publications

(9 citation statements)

References 23 publications

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“…The centerpiece of the framework is the simulation algorithm, the details of which are described in Section III. It takes a sequence of data page access requests as an input, considering them one by one (1). For each such request, the algorithm retrieves the available page metadata (2), such as the storage tier it is currently located at and whether it is dirty (updated while on a volatile storage tier).…”

Section: A Framework Overviewmentioning

confidence: 99%

“…A recent development in data storage technologies (dating back to the 2015 Intel and Micron announcement of the 3D XPoint technology [1]) has disrupted the traditional two-tier storage and BP manager architectures and designs. Non-volatile memory (NVM) is a novel family of data storage manufacturing technologies that promise and, to some extent, already delivers [1,2] storage that is almost as fast as RAM, persistent, byteaddressable, and nearly as abundant and as cheap as disk.…”

Section: Introductionmentioning

confidence: 99%

“…NVM can serve as the third tier of storage, which can be logically placed between memory (RAM) and disk tiers [3,4] (in terms of data access performance versus available space and price). This addition requires a redesign of existing approaches to optimal buffer pool resource management in the general case [1,3,4,5,6], and by extension, for a multi-tenant cloud database management system. However, as [1] points out, NVM-related DBMS research currently relies upon the ability to quickly build and evaluate the software component prototypes, which requires the assistance of various software and hardware tools.…”

Section: Introductionmentioning

confidence: 99%

“…This addition requires a redesign of existing approaches to optimal buffer pool resource management in the general case [1,3,4,5,6], and by extension, for a multi-tenant cloud database management system. However, as [1] points out, NVM-related DBMS research currently relies upon the ability to quickly build and evaluate the software component prototypes, which requires the assistance of various software and hardware tools. Unfortunately, such tools are not currently available to the researchers not affiliated with the NVM hardware manufacturers or with the proprietary DBMS vendors [1].…”

Section: Introductionmentioning

confidence: 99%

“…However, as [1] points out, NVM-related DBMS research currently relies upon the ability to quickly build and evaluate the software component prototypes, which requires the assistance of various software and hardware tools. Unfortunately, such tools are not currently available to the researchers not affiliated with the NVM hardware manufacturers or with the proprietary DBMS vendors [1].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Persistent Memory-Aware Buffer Pool Manager Simulator for Multi-Tenant Cloud Databases

Gruenwald

d’Orazio

Leal

2020

2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)

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Non-Volatile Memory (NVM) is a promising development for Database Management Systems (DBMS), offering abundant and fast storage to complement traditional disk and main memory architectures. NVM introduces additional data migration possibilities to the traditional buffer pool (BP) managers used by the DBMS. Hence, the efficient use of this new technology requires a redesign of the BP manager. For the cloud Database-as-a-Service products, this need for a redesign is further complicated by the traditional cloud providers' goal to minimize the Service Level Agreement (SLA) violation penalties paid to their tenants. Unfortunately, current research in the area does not provide a comprehensive picture of the components constituting a multi-tenant persistent memory aware BP manager for a cloud database that makes use of NVM. Furthermore, researchers lack the software tools needed to quickly prototype and estimate the effectiveness of novel data management policies guiding those components. In this paper, we attempt to remedy both issues, first, by proposing a generalized framework that defines the purpose and the abstract interfaces of various multitenant persistent memory-aware BP manager components, and second, by developing and demonstrating a simulator algorithm that is shown to aid in quick testing of different implementations of those BP manager components.

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Section: A Framework Overviewmentioning

confidence: 99%