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Autonomic Management of Scalable Load-Balancing for Ubiquitous Networks

机译:遍及网络的可伸缩负载均衡的自主管理

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In ubiquitous networks, a lot of sensors and RFID readers will be connected to the networks as well as PCs and mobile phones are connected, and huge numbers of transactions are expected to be issued by these devices. Since the loads caused by the transactions are getting increased gradually, it is difficult for system manager to estimate the required performance. The scalable load balancing method is, therefore, expected. This report proposes the scalable load-balancing method in which servers communicate each other, and they manage themselves for load-balancing. Because this method does not need a center server, it can avoid the center-server bottleneck. This system, however, is prone to diverge; the system continues load balancing repeatedly in certain configuration and never stops load-balancing operations. In this paper, we clarify a sufficient condition of the divergence, and prevent the system from the divergence.
机译:在无处不在的网络中,许多传感器和RFID读取器将连接到网络,并且PC和移动电话也将连接,并且预计这些设备将进行大量交易。由于事务引起的负载逐渐增加,因此系统管理员很难估计所需的性能。因此,可伸缩的负载平衡方法是可以预期的。该报告提出了一种可伸缩的负载平衡方法,在这种方法中,服务器之间可以相互通信,并且它们可以自行管理负载平衡。因为此方法不需要中央服务器,所以可以避免中央服务器的瓶颈。但是,该系统容易产生分歧。系统会在某些配置中反复继续进行负载平衡,并且永远不会停止负载平衡操作。在本文中,我们阐明了分歧的充分条件,并防止了系统的分歧。

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