Spatiotemporal data play a key role for mobility-based applications and are their produced volume is growing continuously, among others, due to the increased availability of IoT devices. When working with spatiotemporal data, developers rely on spatiotemporal database systems such as PostGIS or MobilityDB. For better understanding their quality of service behavior and then choosing the best system, benchmarking is the go-to approach. Unfortunately, existing work in this field studies only small isolated aspects and a comprehensive application-centric benchmark suite is still missing. In this paper, we argue that an application-centric benchmark suite for spatiotemporal database systems is urgently needed. We identify requirements for such a benchmark suite, discuss domain-specific challenges, and sketch-out the architecture of a modular benchmarking suite.

翻译：时空数据在基于移动性的应用中扮演着关键角色，其生成量正持续增长，这在很大程度上得益于物联网设备可用性的提高。处理时空数据时，开发者依赖于诸如PostGIS或MobilityDB等时空数据库系统。为更好地理解其服务质量行为并选择最佳系统，基准测试成为首选方法。遗憾的是，该领域现有工作仅研究了孤立的小型方面，目前仍缺乏一个全面的、以应用为中心的基准测试套件。本文主张，面向时空数据库系统的应用中心化基准测试套件亟需建立。我们识别了此类基准测试套件的需求，讨论了领域特定挑战，并勾勒出一个模块化基准测试套件的架构框架。