NDLI: ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

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ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

Content Provider	ACM Digital Library
Author	Wang, Tianzheng Pandis, Ippokratis Kim, Kangnyeon Johnson, Ryan
Abstract	Large main memories and massively parallel processors have triggered not only a resurgence of high-performance transaction processing systems optimized for large main-memory and massively parallel processors, but also an increasing demand for processing heterogeneous workloads that include read-mostly transactions. Many modern transaction processing systems adopt a lightweight optimistic concurrency control (OCC) scheme to leverage its low overhead in low contention workloads. However, we observe that the lightweight OCC is not suitable for heterogeneous workloads, causing significant starvation of read-mostly transactions and overall performance degradation. In this paper, we present ERMIA, a memory-optimized database system built from scratch to cater the need of handling heterogeneous workloads. ERMIA adopts snapshot isolation concurrency control to coordinate heterogeneous transactions and provides serializability when desired. Its physical layer supports the concurrency control schemes in a scalable way. Experimental results show that ERMIA delivers comparable or superior performance and near-linear scalability in a variety of workloads, compared to a recent lightweight OCC-based system. At the same time, ERMIA maintains high throughput on read-mostly transactions when the performance of the OCC-based system drops by orders of magnitude.
Starting Page	1675
Ending Page	1687
Page Count	13
File Format	PDF
ISBN	9781450335317
DOI	10.1145/2882903.2882905
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Epoch-based resource management Append-only storage Multiversion concurrency control Heterogeneous workloads Log manager Serial safety net Main-memory databases Indirection arrays Multicore scalability
Content Type	Text
Resource Type	Article

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