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Tombolo: Performance enhancements for cloud storage gateways

机译：Tombolo：云存储网关的性能增强

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Object-based cloud storage has been widely adopted for their agility in deploying storage with a very low up-front cost. However, enterprises currently use them to store secondary data and not for expensive primary data. The driving reason is performance; most enterprises conclude that storing primary data in the cloud will not deliver the performance needed to serve typical workloads. Our analysis of real-world traces shows that certain primary data sets can reside in the cloud with its working set cached locally, using a cloud gateway that acts as a caching bridge between local data centers and the cloud. We use a realistic cloud gateway simulator to study the performance and cost of moving such workloads to different cloud backends (like Amazon S3). We find that when equipped with the right techniques, cloud gateways can provide competitive performance and price compared to on-premise storage. We also provide insights on how to build such cloud gateways, especially with respect to caching and prefetching techniques.
机译：基于对象的云存储因其以非常低的前期成本部署存储的敏捷性而被广泛采用。但是，企业目前使用它们来存储辅助数据，而不是用于存储昂贵的主数据。驱动的原因是性能;大多数企业得出的结论是，将主要数据存储在云中将无法提供满足典型工作负载所需的性能。我们对真实世界轨迹的分析表明，某些主要数据集可以使用云网关作为本地数据中心和云之间的缓存桥梁，并将其工作集本地缓存在云中。我们使用现实的云网关模拟器来研究将此类工作负载转移到不同的云后端（如Amazon S3）的性能和成本。我们发现，如果配备了正确的技术，与本地存储相比，云网关可以提供具有竞争力的性能和价格。我们还提供有关如何构建此类云网关的见解，尤其是在缓存和预取技术方面。

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