Yang Tang, Gang Hu, Xinhao Yuan, Lingmei Weng, Junfeng Yang
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引用次数: 6
Abstract
Web applications are getting ubiquitous every day because they offer many useful services to consumers and businesses. Many of these web applications are quite storage-intensive. Cloud computing offers attractive and economical choices for meeting their storage needs. Unfortunately, it remains challenging for developers to best leverage them to minimize cost. This paper presents Grandet, an extensible storage system that significantly reduces storage cost for web applications deployed in the cloud. Grandet provides both a key-value interface and a file system interface, supporting a broad spectrum of web applications. Under the hood, it supports multiple heterogeneous stores and unifies them by placing each data object at the store deemed most economical. We implemented Grandet on Amazon Web Services and evaluated Grandet on a diverse set of four popular open-source web applications. Our results show that Grandet reduces their cost by an average of 42.4%, and it is fast, scalable, and easy to use. The source code of Grandet is at http://columbia.github.io/grandet.
Web应用程序每天都变得无处不在,因为它们为消费者和企业提供了许多有用的服务。这些web应用程序中的许多都是存储密集型的。云计算为满足他们的存储需求提供了有吸引力且经济的选择。不幸的是,对于开发人员来说,最好地利用它们来最小化成本仍然是一个挑战。本文介绍了Grandet,这是一个可扩展的存储系统,可以显著降低部署在云中的web应用程序的存储成本。Grandet提供了键值接口和文件系统接口,支持广泛的web应用程序。在底层,它支持多个异构存储,并通过将每个数据对象放在被认为最经济的存储中来统一它们。我们在Amazon Web Services上实现了Grandet,并在四种流行的开源Web应用程序上对Grandet进行了评估。我们的结果表明,Grandet平均降低了42.4%的成本,并且速度快,可扩展,易于使用。Grandet的源代码在http://columbia.github.io/grandet。