结合云中的查询性能和数据完整性:一个混合云存储框架,以增强Windows Azure平台上的数据访问

R. Neumann, Steve Taggeselle, R. Dumke, A. Schmietendorf, F. Muhß, Anja Fiegler
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引用次数: 5

摘要

非关系型云存储服务,如Windows Azure的表存储,承诺高可伸缩性和接近恒定的响应时间,即使并发事务数量不断增加。然而,本文研究的测量数据揭示了大量的查询性能异常,以及随着实体大小的增加响应时间的下降。为了解决这些问题,我们提出了一种中间存储服务,即混合云存储框架(HCSF),它结合了Azure分布式缓存的性能优势和表存储的数据完整性。最后给出了HCSF在Azure表存储下的性能基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Query Performance with Data Integrity in the Cloud: A Hybrid Cloud Storage Framework to Enhance Data Access on the Windows Azure Platform
Non-relational Cloud Storage Services, such as Windows Azure's Table Storage, promise high scalability and nearby constant response times, even with an increasing number of concurrent transactions. Measurement data that is examined throughout this paper, however, reveals a fairly high number of query performance anomalies as well as a drop in response time with an increasing entity size. To address these issues, we propose an intermediate storage service, namely the Hybrid Cloud Storage Framework (HCSF), which combines the performance advantage of the Azure Distributed Cache with the data integrity of Table Storage. The paper concludes with a performance benchmark of the HCSF with Azure's Table Storage.
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