首页> 外文会议>Quality of Service (IWQoS), 2012 IEEE 20th International Workshop on >On the impact of virtualization on Dropbox-like cloud file storage/synchronization services
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On the impact of virtualization on Dropbox-like cloud file storage/synchronization services

机译:虚拟化对类似Dropbox的云文件存储/同步服务的影响

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Powered by cloud computing, Dropbox not only provides reliable file storage but also enables effective file synchronization and user collaboration. This new generation of service, beyond conventional client/server or peer-to-peer file hosting with storage only, has attracted a vast number of Internet users. It is however known that the synchronization delay of Dropbox-like systems is increasing with their expansion, often beyond the accepted level for practical collaboration. In this paper, we present an initial measurement to understand the design and performance bottleneck of the proprietary Dropbox system. Our measurement identifies the cloud servers/instances utilized by Dropbox, revealing its hybrid design with both Amazon's S3 (for storage) and Amazon's EC2 (for computation). The mix of bandwidth-intensive tasks (such as content delivery) and computation-intensive tasks (such as compare hash values for the contents) in Dropbox enables seamless collaboration and file synchronization among multiple users; yet their interference, revealed in our experiments, creates a severe bottleneck that prolongs the synchronization delay with virtual machines in the cloud, which has not seen in conventional physical machines. We thus re-model the resource provisioning problem in the Dropbox-like systems and present an interference-aware solution that smartly allocates the Dropbox tasks to different cloud instances. Evaluation results show that our solution remarkably reduces the synchronization delay for this new generation of file hosting service.
机译:在云计算的支持下,Dropbox不仅提供可靠的文件存储,而且还可以实现有效的文件同步和用户协作。除了仅具有存储功能的常规客户端/服务器或对等文件托管之外,这种新一代服务已经吸引了众多Internet用户。但是,众所周知,Dropbox类系统的同步延迟会随着扩展而增加,通常超出了实际协作的可接受水平。在本文中,我们提出了一个初步的测量方法,以了解专有Dropbox系统的设计和性能瓶颈。我们的测量结果确定了Dropbox使用的云服务器/实例,揭示了其与Amazon S3(用于存储)和Amazon EC2(用于计算)的混合设计。 Dropbox中带宽密集型任务(例如内容交付)和计算密集型任务(例如比较内容的哈希值)的混合使多个用户之间可以无缝协作和文件同步;然而,在我们的实验中发现,它们的干扰造成了严重的瓶颈,从而延长了与云中虚拟机的同步延迟,而这是传统物理机所没有的。因此,我们在类似Dropbox的系统中对资源供应问题进行了重新建模,并提出了一种可感知干扰的解决方案,该解决方案可将Dropbox任务智能地分配给不同的云实例。评估结果表明,我们的解决方案显着减少了新一代文件托管服务的同步延迟。

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