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CoCloud: Enabling Efficient Cross-Cloud File Collaboration Based on Inefficient Web APIs

机译:CoCloud:基于低效的Web API实现高效的跨云文件协作

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Cloud storage services such as Dropbox have been widely used for file collaboration among multiple users. However, this desirable functionality is yet restricted to the “walled-garden” of each service. At present, the only feasible approach to cross-cloud file collaboration seems to be using web APIs, whose performance is known to be highly unstable and unpredictable. Now that using inefficient web APIs is inevitable, in this paper we attempt to achieve sound user-perceived performance for cross-cloud file collaboration. This attempt is enabled by two key observations from real-world measurements. First, for each cloud, we are always able to deploy one or several nearby (client) proxies which can efficiently access the web APIs. Second, during file collaboration, significant similarity exists among different versions of a file. This can be exploited to substantially reduce inter-proxy traffic and thus shorten the data sync time. Guided by the observations, we design and implement an open-source prototype system called CoCloud. Currently, it supports file collaboration among four popular cloud storage services in the US and China. Its performance is well acceptable to users under representative workloads, even approaching or exceeding that of intra-cloud collaboration in many cases.
机译:诸如Dropbox之类的云存储服务已被广泛用于多个用户之间的文件协作。但是,这种理想的功能还仅限于每个服务的“围墙花园”。当前,跨云文件协作的唯一可行方法似乎是使用Web API,众所周知,Web API的性能非常不稳定且不可预测。既然使用低效的Web API是不可避免的,那么在本文中,我们尝试为跨云文件协作实现良好的用户感知性能。通过来自实际测量的两个关键观察,可以实现此尝试。首先,对于每个云,我们始终能够部署一个或几个附近的(客户端)代理,这些代理可以有效地访问Web API。其次,在文件协作期间,文件的不同版本之间存在显着的相似性。可以利用它来大大减少代理间的通信量,从而缩短数据同步时间。在观察的指导下,我们设计并实现了一个名为CoCloud的开源原型系统。目前,它支持在美国和中国的四种流行的云存储服务之间进行文件协作。在具有代表性的工作负载下,它的性能为用户所接受,甚至在许多情况下甚至接近或超过云内协作的性能。

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