A benchmark study of modern distributed databases (DDBs) (e.g., Cassandra, MongoDB, Redis, and MySQL) is an important source of information for selecting the right technology for managing data in edge–cloud deployments. While most of the existing studies have investigated the performance and scalability of DDBs in cloud computing, there is a lack of focus on resource utilization (e.g., energy, bandwidth, and storage consumption) of workload offloading for DDBs deployed in edge–cloud environments. For this purpose, we conducted experiments on various physical and virtualized computing nodes, including variously powered servers, Raspberry Pi, and hybrid cloud (OpenStack and Azure). Our extensive experimental results reveal insights into which database under which offloading scenario is more efficient in terms of energy, bandwidth, and storage consumption.

中文翻译：

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分布式数据库在边云环境下的资源利用

现代分布式数据库 (DDB)（例如 Cassandra、MongoDB、Redis 和 MySQL）的基准研究是选择正确的技术来管理边缘云部署中的数据的重要信息来源。虽然大多数现有研究已经调查了 DDB 在云计算中的性能和可扩展性，但缺乏对部署在边缘云环境中的 DDB 的工作负载卸载的资源利用（例如，能量、带宽和存储消耗）的关注。为此，我们在各种物理和虚拟化计算节点上进行了实验，包括各种供电的服务器、Raspberry Pi 和混合云（OpenStack 和 Azure）。我们广泛的实验结果揭示了在哪种卸载场景下哪个数据库在能量、带宽、