TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage
Zhiqi Wang, Zili Shao
Abstract
Timeseries management systems have attracted considerable attention during the last decade with the rise of IoT and performance monitoring. With the rapidly increasing data scale in the production environment, deploying timeseries management systems on cloud with cloud storage is a natural trend because of its high availability, reliability, and scalability. However, the state-of-the-art designs are not tailored for cloud environments; they suffer from the limited number of timeseries a single compute node can handle because of the imbalanced resource usage.
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