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Benchmarking Distributed Database Performance and Dependability under Partial System Failures

Authors
  • Bes, Ruben (author)
Publication Date
Apr 14, 2021
Source
TU Delft Repository
Keywords
Language
English
License
Unknown
External links

Abstract

Many types of database management systems exist, but finding the one that is right for a specific use case is becoming increasingly more difficult. Benchmarks allow one to compare various systems, but in a world where distributed DBMSs are increasingly used for mission critical purposes, we find most existing benchmarks neglect fault tolerance and dependability aspects. In this Master’s Thesis, we design a modular and highly extensible framework capable of introducing partial system failures in a distributed database deployment. We also implement a proof-of-concept version of our framework which we use to evaluate the performance of a CockroachDB cluster deployed through Kubernetes, by running the TPC-C benchmark while we inject faults and measure changes in performance. Using this proof-of-concept implementation we demonstrate the faults our system can introduce and find that the impact of our high-level node failures is strongly dependent on the time a node has to perform a graceful shutdown and notify its peers or connected clients. / Computer Science | Data Science and Technology

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