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Analysis of the Auction Approach and the Dual Ascent Approach in Computer Network

机译:计算机网络中的拍卖方法和双重上升方法分析

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Network designs, which are now used in many areas, bring many problems. These problems arise in many applications, including transportation, distribution, communication, computer and energy systems. In such problems, there is some communication density between the selected nodes and this traffic moves along roads with limited capacity. What paths should be used in network design is an important question. Because resources such as bandwidth and power in networks are often limited. There are various decision-making algorithms such as weighted decision making and shortest path tree to divide these resources in a fair way and to be directed to roads. In this study, we use auctions and two climbing algorithms, two of the algorithms made to minimize network costs from decision making mechanisms. Finally, we compare these two algorithms for the same network structure and give us an idea of which can be more efficient.
机译:现在在许多领域中使用的网络设计带来了许多问题。这些问题出现在许多应用中,包括运输,分配,通信,计算机和能源系统。在这样的问题中,所选节点之间存在一定的通信密度,并且此流量沿着容量有限的道路移动。在网络设计中应使用哪些路径是一个重要的问题。因为网络中的资源(例如带宽和功率)通常受到限制。有多种决策算法,例如加权决策和最短路径树,可以公平地划分这些资源并定向到道路。在这项研究中,我们使用拍卖和两种爬升算法,其中两种算法是为了最大程度地降低决策机制的网络成本而设计的。最后,我们将这两种算法在相同的网络结构中进行比较,并给出一个更有效的想法。

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