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Efficient Concurrency Control for Broadcast Environments

机译:高效的广播环境并发控制

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A crucial consideration in environments where data is broadcast to clients is the low bandwidth available for clients to communicate with servers. Advanced applications in such environments do need to read data that is mutually consistent as well as current. However, given the asymmetric communication capabilities and the needs of clients in mobile environments, traditional serializability-based approaches are too restrictive, unnecessary, and impractical. We thus propose the use of a weaker correctness criterion called update consistency and outline mechanisms based on this criterion that ensure (1) the mutual consistency of data maintained by the server and read by clients, and (2) the currency of data read by clients. Using these mechanisms, clients can obtain data that is current and mutually consistent "off the air", i.e., without contacting the server to, say, obtain locks. Experimental results show a substantial reduction in response times as compared to existing (serializability-based) approaches. A further attractive feature of the approach is that if caching is possible at a client, weaker forms of currency can be obtained while still satisfying the mutual consistency of data.
机译:在数据广播到客户端的环境中的一个关键考虑是可用于与服务器通信的客户端的低带宽。此类环境中的高级应用程序确实需要读取相互一致的数据以及电流。然而,鉴于移动环境中的不对称通信能力和客户的需求,基于传统的序列化的方法过于限制性,不必要的和不切实际。因此,我们提出了使用较弱的正确性标准,即根据该标准使用称为更新一致性和大纲机制的正确性标准,该标准确保了服务器维护的数据的相互一致性并由客户端读取,以及(2)客户端读取的数据货币。使用这些机制,客户端可以获得当前的数据和相互一致的“关闭空气”,即,不与服务器联系到,例如,获取锁定。实验结果表明,与现有的(基于序列化)的方法相比,响应时间的显着降低。该方法的另一个有吸引力的特征是,如果在客户端缓存,则可以获得较弱的货币形式,同时仍然满足数据的相互一致性。

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