@techreport{benchmark,
  title={A Benchmark for Data Management in Microservices}, 
  author={Rodrigo Laigner and Zhexiang Zhang and Yijian Liu and Leonardo Gomes and Yongluan Zhou},
  year={2023},
  type = {WorkingPaper},
  abstract  = {Microservice architectures emerged as a popular architecture for designing scalable distributed applications. Although microservices have been extensively employed in industry settings for over a decade, there is little understanding of the data management challenges that arise in these applications. As a result, it is difficult to advance data system technologies for supporting microservice applications. To fill this gap, we present Online Marketplace, a microservice benchmark that incorporates core data management challenges that existing benchmarks have not sufficiently addressed. These challenges include transaction processing, query processing, event processing, constraint enforcement, and data replication. We have defined criteria for various data management issues to enable proper comparison across data systems and platforms. After specifying the benchmark, we present the challenges we faced in creating workloads that accurately reflect the dynamic state of the microservices. We also discuss issues that we encountered when implementing Online Marketplace in state-of-the-art data platforms and meeting the criteria. Our evaluation demonstrates that the benchmark is a valuable tool for testing important properties sought by microservice practitioners. As a result, our proposed benchmark will facilitate the design of future data systems to meet the expectations of microservice practitioners.},
  url = {https://www.researchgate.net/publication/379662990_A_Benchmark_for_Data_Management_in_Microservices}
}

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