A hybrid publish subscribe protocol

M. Linderman, Norman Ahmed, J. Metzler, Jason Bryant
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引用次数: 4

Abstract

Content-based publish/subscribe system performance depends upon the efficient subscription matching and event dissemination to interested subscribers. We propose a hybrid content-based publish/subscribe protocol for large size events wherein a centralized brokering system is coupled with a decentralized BitTorrent-like peer-to-peer (P2P) protocol for scalable event distribution among publishers and subscribers. Events are mapped to a torrent that grows as new events are published. Subscribers self-broker on event metadata and request content only if interested. Subscriber interests determine event popularity that the broker estimates with sampling. Popular events are disseminated P2P; unpopular events, directly from the broker; and somewhat popular ones, with P2P and broker-directed pre-seeding. The challenge is the dissemination of popular events without overwhelming centralized resources while efficiently disseminating unpopular events that lack sufficient interest to sustain gossip-based dissemination. The key advances include new means of handling variable event popularity inherent in content-based pub/sub and an adaptive anti-entropy mechanism for undelivered events.
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混合发布订阅协议
基于内容的发布/订阅系统的性能取决于有效的订阅匹配和向感兴趣的订阅者分发事件。我们提出了一种基于内容的混合发布/订阅协议,用于大型事件,其中集中式代理系统与分散的类似bittorrent的点对点(P2P)协议相结合,用于在发布者和订阅者之间进行可扩展的事件分发。事件被映射到一个洪流,随着新事件的发布而增长。订阅者对事件元数据进行自代理,仅在感兴趣时才请求内容。订阅者兴趣决定代理通过抽样估计的事件流行度。热点事件P2P传播;不受欢迎的事件,直接从经纪人;还有一些流行的,比如P2P和代理定向的预播种。面临的挑战是,在不压倒集中资源的情况下传播受欢迎的事件,同时有效地传播缺乏足够兴趣以维持基于流言的传播的不受欢迎的事件。关键的进展包括处理基于内容的发布/订阅中固有的可变事件流行度的新方法,以及针对未交付事件的自适应反熵机制。
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