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Techniques for adapting data storage systems for peaky usage models

机译:使数据存储系统适应高峰使用模型的技术

摘要

Techniques described and suggested herein include implementations of caches and scalers to handle data storage requests, and storage event status requests associated with data storage requests, in a scalable fashion. For example, a data storage system, such as a data storage system implemented by a computing resource service provider in connection with providing an archival storage service or other data storage service, may be implemented to maintain a consistent response time and backend capability for incoming data storage requests, which may be a component of ensuring a consistent customer experience for customers of an associated service, with little or no regard to peaky or high data storage request rates observed by the implementing data storage system.
机译:本文描述和建议的技术包括以可扩展方式处理数据存储请求以及与数据存储请求相关联的存储事件状态请求的高速缓存和缩放器的实现。例如,可以实现数据存储系统,例如由计算资源服务提供商结合提供档案存储服务或其他数据存储服务而实现的数据存储系统,以为输入数据保持一致的响应时间和后端能力。存储请求,这可能是确保相关服务的客户获得一致的客户体验的组成部分,而很少或根本没有考虑实施数据存储系统所观察到的峰值或高数据存储请求率。

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