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Data Replication in Hybrid Memory Database Systems

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Authors and Corporations: Zarubin, Mikhail, Lehner, Wolfgang, Habich, Dirk
Title: Data Replication in Hybrid Memory Database Systems
Dissertation Note: Dissertation, Technische Universität Dresden, 2022
Type of Resource: E-Book Thesis
Language: English
published:
2022
Online-Ausg.. 2022
Subjects:
Source: Qucosa
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520 |a The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures and non-volatile random-access memory (NVRAM) - lead to significant changes in the architecture of in-memory database systems. The novel memory type allows persistent writes while featuring DRAM-like characteristics - byte addressability, high bandwidth, and low access latencies. It is likely to complement or replace the block-based secondary storage (e.g., HDDs or SSDs) for storing the primary data of the DBMS. Therefore, the next generation of highly-performant scalable database systems will rely on single-level hybrid memory (e.g., compound exclusively of DRAM and NVRAM) NUMA architectures and is expected to keep the primary data solely persistent in NVRAM, while query processing could be executed on both mediums. Unfortunately, NVRAM faces certain drawbacks such as a lower write endurance, lower bandwidth, higher latencies, and - most importantly - an increased error-proneness compared to DRAM. Thus, efficient minimal-overhead data protection mechanisms have to be deployed in the underlined architectures to avoid primary data losses. This thesis provides an analytical overview of such envisioned hybrid memory database systems, gives a survey of reliability techniques that are generally deployed in computing systems, identifies their strengths and weaknesses when used in hybrid memory databases. As a result, this work proposes effective adoption and optimization primitives for the software-managed data replication as the most applicable resilience approach. In particular, research focus is given to runtime and space (and, therefore, NVRAM wear-out) reduction of the replication overheads, while preserving strong resilience guaranties and instant recovery opportunities. Subsequently, this thesis proposes a rich set of techniques that leverage data replication for query processing needs to achieve high performance, allocation flexibility and effective hardware utilization in modern commodity scale-up systems. 
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contents The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures and non-volatile random-access memory (NVRAM) - lead to significant changes in the architecture of in-memory database systems. The novel memory type allows persistent writes while featuring DRAM-like characteristics - byte addressability, high bandwidth, and low access latencies. It is likely to complement or replace the block-based secondary storage (e.g., HDDs or SSDs) for storing the primary data of the DBMS. Therefore, the next generation of highly-performant scalable database systems will rely on single-level hybrid memory (e.g., compound exclusively of DRAM and NVRAM) NUMA architectures and is expected to keep the primary data solely persistent in NVRAM, while query processing could be executed on both mediums. Unfortunately, NVRAM faces certain drawbacks such as a lower write endurance, lower bandwidth, higher latencies, and - most importantly - an increased error-proneness compared to DRAM. Thus, efficient minimal-overhead data protection mechanisms have to be deployed in the underlined architectures to avoid primary data losses. This thesis provides an analytical overview of such envisioned hybrid memory database systems, gives a survey of reliability techniques that are generally deployed in computing systems, identifies their strengths and weaknesses when used in hybrid memory databases. As a result, this work proposes effective adoption and optimization primitives for the software-managed data replication as the most applicable resilience approach. In particular, research focus is given to runtime and space (and, therefore, NVRAM wear-out) reduction of the replication overheads, while preserving strong resilience guaranties and instant recovery opportunities. Subsequently, this thesis proposes a rich set of techniques that leverage data replication for query processing needs to achieve high performance, allocation flexibility and effective hardware utilization in modern commodity scale-up systems.
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spelling Zarubin, Mikhail, Data Replication in Hybrid Memory Database Systems, 2022, txt, nc, Online-Ausg. 2022 Online-Ressource (Text) Technische Universität Dresden, Dissertation Technische Universität Dresden 2022, The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures and non-volatile random-access memory (NVRAM) - lead to significant changes in the architecture of in-memory database systems. The novel memory type allows persistent writes while featuring DRAM-like characteristics - byte addressability, high bandwidth, and low access latencies. It is likely to complement or replace the block-based secondary storage (e.g., HDDs or SSDs) for storing the primary data of the DBMS. Therefore, the next generation of highly-performant scalable database systems will rely on single-level hybrid memory (e.g., compound exclusively of DRAM and NVRAM) NUMA architectures and is expected to keep the primary data solely persistent in NVRAM, while query processing could be executed on both mediums. Unfortunately, NVRAM faces certain drawbacks such as a lower write endurance, lower bandwidth, higher latencies, and - most importantly - an increased error-proneness compared to DRAM. Thus, efficient minimal-overhead data protection mechanisms have to be deployed in the underlined architectures to avoid primary data losses. This thesis provides an analytical overview of such envisioned hybrid memory database systems, gives a survey of reliability techniques that are generally deployed in computing systems, identifies their strengths and weaknesses when used in hybrid memory databases. As a result, this work proposes effective adoption and optimization primitives for the software-managed data replication as the most applicable resilience approach. In particular, research focus is given to runtime and space (and, therefore, NVRAM wear-out) reduction of the replication overheads, while preserving strong resilience guaranties and instant recovery opportunities. Subsequently, this thesis proposes a rich set of techniques that leverage data replication for query processing needs to achieve high performance, allocation flexibility and effective hardware utilization in modern commodity scale-up systems., Hybrid Memory Architectures, In-Memory Databases, Reliability, Data Replication, Hochschulschrift gnd-content, Lehner, Wolfgang, Habich, Dirk, text/html https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-784821 Online-Zugriff
spellingShingle Zarubin, Mikhail, Data Replication in Hybrid Memory Database Systems, The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures and non-volatile random-access memory (NVRAM) - lead to significant changes in the architecture of in-memory database systems. The novel memory type allows persistent writes while featuring DRAM-like characteristics - byte addressability, high bandwidth, and low access latencies. It is likely to complement or replace the block-based secondary storage (e.g., HDDs or SSDs) for storing the primary data of the DBMS. Therefore, the next generation of highly-performant scalable database systems will rely on single-level hybrid memory (e.g., compound exclusively of DRAM and NVRAM) NUMA architectures and is expected to keep the primary data solely persistent in NVRAM, while query processing could be executed on both mediums. Unfortunately, NVRAM faces certain drawbacks such as a lower write endurance, lower bandwidth, higher latencies, and - most importantly - an increased error-proneness compared to DRAM. Thus, efficient minimal-overhead data protection mechanisms have to be deployed in the underlined architectures to avoid primary data losses. This thesis provides an analytical overview of such envisioned hybrid memory database systems, gives a survey of reliability techniques that are generally deployed in computing systems, identifies their strengths and weaknesses when used in hybrid memory databases. As a result, this work proposes effective adoption and optimization primitives for the software-managed data replication as the most applicable resilience approach. In particular, research focus is given to runtime and space (and, therefore, NVRAM wear-out) reduction of the replication overheads, while preserving strong resilience guaranties and instant recovery opportunities. Subsequently, this thesis proposes a rich set of techniques that leverage data replication for query processing needs to achieve high performance, allocation flexibility and effective hardware utilization in modern commodity scale-up systems., Hybrid Memory Architectures, In-Memory Databases, Reliability, Data Replication, Hochschulschrift
title Data Replication in Hybrid Memory Database Systems
title_auth Data Replication in Hybrid Memory Database Systems
title_full Data Replication in Hybrid Memory Database Systems
title_fullStr Data Replication in Hybrid Memory Database Systems
title_full_unstemmed Data Replication in Hybrid Memory Database Systems
title_short Data Replication in Hybrid Memory Database Systems
title_sort data replication in hybrid memory database systems
title_unstemmed Data Replication in Hybrid Memory Database Systems
topic Hybrid Memory Architectures, In-Memory Databases, Reliability, Data Replication, Hochschulschrift
topic_facet Hybrid Memory Architectures, In-Memory Databases, Reliability, Data Replication, Hochschulschrift
url https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-784821
urn urn:nbn:de:bsz:14-qucosa2-784821
work_keys_str_mv AT zarubinmikhail datareplicationinhybridmemorydatabasesystems, AT lehnerwolfgang datareplicationinhybridmemorydatabasesystems, AT habichdirk datareplicationinhybridmemorydatabasesystems