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Move-optimal gossiping among mobile agents

机译:移动代理之间的最佳移动闲聊

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Mobile-agent-based distributed systems are attracting widespread attention because of their adaptability and flexibility; mobile agents traverse the system and carry out a task at each node. In mobile-agent-based systems, gossip is a fundamental task in cooperation among mobile agents. It requires one to accomplish all-to-all information exchange over all agents so that each agent can obtain the information each agent initially has. While rendezvous algorithms, which require that all agents rendezvous on a node at the same time, can achieve this requirement, it takes excessive cost for our objective. In this paper, we introduce the mobile agent gossip problem, in which each agent must obtain the information all other agents have. Each agent p{sub}i can obtain the information of p{sub}j (≠p{sub}i) by meeting p{sub}j itself or any agent that already has information of p{sub}j. Thus, the gossip is expected to accomplish the all-to-all information exchange with a smaller number of agents' moves than the rendezvous algorithms. In this paper, we investigate the complexity of the mobile agent gossip problem in terms of the total number of moves performed by agents. For several network topologies, we show the asymptotically tight upper and lower bounds for move complexity. This result is obtained from the fact that the mobile agent gossip problem and the node leader election problem is reducible to each other.
机译:基于移动代理的分布式系统由于其适应性和灵活性而受到广泛关注。移动代理遍历系统并在每个节点上执行任务。在基于移动代理的系统中,八卦是移动代理之间进行协作的一项基本任务。它要求一个人完成所有座席上的所有信息交换,以便每个座席可以获取每个座席最初拥有的信息。虽然要求所有代理同时在一个节点上会合的会合算法可以达到此要求,但为我们的目标付出了过多的成本。在本文中,我们介绍了移动代理八卦问题,其中每个代理必须获取所有其他代理拥有的信息。每个代理p {sub} i可以通过遇到p {sub} j本身或已经具有p {sub} j信息的任何代理来获取p {sub} j(≠p {sub} i)的信息。因此,八卦有望以比集合点算法更少的座席动作完成所有信息交换。在本文中,我们将根据代理执行的移动总数来研究移动代理八卦问题的复杂性。对于几种网络拓扑,我们显示了移动复杂度的渐近上限和下限。该结果是从移动代理八卦问题和节点负责人选举问题可以彼此减少这一事实获得的。

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