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Publish/Subscribe for Mobile Applications Using Shared Dictionary Compression

机译:使用共享字典压缩发布/订阅移动应用程序

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Publish/Subscribe is known as a scalable and efficient data dissemination mechanism. In a mobile environment, there is an added challenge for the pub/sub system to economizemobile bandwidth, which is especially precious in areas not wellcovered by mobile providers. While well-known compressionmethods such as GZip or Deflate are generally useful in suchsituations, we propose using Shared Dictionary Compression(SDC) to achieve a greater level of bandwidth efficiency. SDCrequires a dictionary, generated upfront, to be shared betweentwo communicating peers before it can be used. We proposea design where brokers forming the pub/sub overlay can be incharge of generating and propagating the shared dictionary. Oursolution employs an adaptive algorithm, executed at the brokers, which creates and maintains the dictionaries over time. Withthis approach, it is possible to reduce the required bandwidth byup to 88% including the introduced dictionary overhead. Ourdemo shows this approach applied to a smartphone applicationcommunicating with a publish/subscribe broker using the MQTTprotocol.
机译:发布/订阅被称为可扩展且高效的数据分发机制。在移动环境中,发布/订阅系统要节省移动带宽面临着额外的挑战,这在移动提供商无法很好覆盖的领域中尤为珍贵。虽然众所周知的压缩方法(例如GZip或Deflate)通常在这种情况下有用,但我们建议使用共享字典压缩(SDC)来实现更高水平的带宽效率。 SDC需要先生成的字典,然后才能在两个通信对等方之间共享该字典。我们提出一种设计,其中构成发布/预订覆盖图的中介可以负责生成和传播共享字典。 Oursolution采用了一种在经纪人处执行的自适应算法,该算法会随着时间的推移创建和维护词典。使用这种方法,可以将所需的带宽减少多达88%,包括引入的字典开销。 Ourdemo展示了这种方法适用于使用MQTT协议与发布/订阅代理进行通信的智能手机应用程序。

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