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Reducing the Availability Management Overheads of Federated Content Sharing Systems

机译:减少联合内容共享系统的可用性管理开销

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We consider the problem of ensuring high data availability in federated content sharing systems. Ideally, such a system would provide high data availability in a device transparent manner so that users are not faced with the time-consuming and error-prone task of managing data replicas across the constituent devices of the system. We propose a novel unified availability model and a decentralized replication algorithm to approximate this ideal. Our availability model addresses three different concerns: availability during connected operation (online), availability during disconnected operation (offline), and availability after permanent disconnection from the federated system (ownership). Our replication algorithm centers around the intuition that devices should selfishly use their local storage to ensure offline and ownership availability for their individual owners. Excess storage, however, is used communally to ensure high online availability for all shared content. Evaluation of an implementation shows that our algorithm rapidly reaches stable and communally desirable configurations when there is sufficient space. Consistent with the fact that devices in a federated system are owned by different users, however, as space becomes highly constrained, the system approaches a non-cooperative configuration where devices only hoard content to serve their individual owners' needs.
机译:我们考虑在联合内容共享系统中确保高数据可用性的问题。理想地,这样的系统将以设备透明方式提供高数据可用性,以便用户不面对跨系统的组成设备管理数据副本的耗时和错误易于任务。我们提出了一种新颖的统一可用性模型和分散的复制算法,以近似理想。我们的可用性模型解决了三种不同的问题:连接操作期间的可用性(在线),断开的操作期间的可用性(脱机),以及从联合系统(所有权)永久断开后的可用性。我们的Replication算法周围的Intuition中心,即设备应该自私地使用本地存储,以确保为他们的个人业主离线和所有权可用性。但是,多余的存储是相互使用的,以确保所有共享内容的高在线可用性。对实施的评估表明,当存在足够的空间时,我们的算法快速达到稳定和相互倾向的配置。然而,与联合系统中的设备由不同的用户拥有的事实,然而,由于空间变得高度约束,系统接近一个非协作配置,其中仅设备囤积内容以满足其个人所有者的需求。

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