Design and Implementation of Hybrid Storage Engine Primarily Focused on Storage Class Memory

Student: Rodionov Dmitriy

Supervisor: Sergey D. Kuznetsov

Educational Programme: System Programming (Master)

Year of Graduation: 2021

Research of data storage methods is a perspective direction for improving performance characteristics and economic efficiency of production systems. This work performs research and an in-depth analysis of approach based on simultaneous use of several different data storage algorithms for handling workloads containing multiple access patterns. Described approach is implemented in consolidation with prior research for key-value interface in a storage subsystem prototype. Conducted performance tests prove efficiency of hybrid approach with thread-per-core architecture. Also, a component using byte-addressable non-volatile main memory (Storage Class Memory – SCM) for data storage was implemented as a part of the system prototype. Analysis of performance testing results shows performance gains and efficiency of such device type. SCM capabilities make it essential for perspective storage engines. Keywords: data storage, storage engine, DBMS, thread-per-core, key-value, Storage Class Memory, NVM.

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