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Adaptive Scheduling of Message Forwarding of DHT-Based P2P Network Broadcast

机译:基于DHT的P2P网络广播的消息转发自适应调度

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摘要

Aggregated information, such as the total and free capacity of storages, computing power, network bandwidth, and so on, is very important for many peer-to-peer (P2P) applications and P2P-based grid or cloud computing. Previous studies have proposed to build a broadcast tree for a structured P2P network. Along this tree, the root can broadcast a command message to all the other peers, and in the reversed redirection, information can be aggregated from leaves to the root. Although command broadcast and information aggregation can be processed within O(log N) hops expectedly, where N is network size, the required time may vary dramatically. In this paper, the authors furthermore consider the order of message forwarding in a broadcast tree. A low-cost fully-distributed algorithm running on each peer is presented to adaptively schedule the message forwarding. The simulation result shows that the proposed algorithm can significantly reduce the time required to complete command broadcast, as well as information aggregation. In addition, the load of peers is furthermore balanced.
机译:聚合信息,例如存储的总容量和可用容量,计算能力,网络带宽等,对于许多对等(P2P)应用程序和基于P2P的网格或云计算而言非常重要。先前的研究提出了为结构化的P2P网络建立广播树。沿着这棵树,根可以向所有其他对等方广播命令消息,并且在反向重定向中,信息可以从叶聚合到根。尽管命令广播和信息聚合可以按预期在O(log N)个跃点内进行处理,其中N是网络大小,但所需时间可能会发生很大变化。在本文中,作者还考虑了广播树中消息转发的顺序。提出了一种在每个对等点上运行的低成本全分布式算法,以自适应地调度消息转发。仿真结果表明,该算法可以显着减少完成命令广播以及信息聚合所需的时间。另外,对等方的负载进一步平衡。

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