多业务自主网络下自私性管理的研究

摘要 提出了一种自主网络下的自主节点自私性管理模型,分析了自主节点自私性影响因素的内在自私性和外在自私性. 内在自私性反映出自主节点所拥有的资源对其自私性的影响,而外在自私性反映了业务特性和外在的激励/惩罚机制对自主节点自私性的影响. 在传输多业务数据时,自主节点根据其周围节点的内在自私性和外在自私性,确定出最小的资源消耗补偿给其周围节点. 此外,自主节点根据其周围节点的业务传输行为来预测其周围节点的有关自私性信息.
In multi-task automatic networks,a node-selfishness model was presented to manage the degree of internal selfishness which formulates the effect of its own resource on the node-selfishness, and to manage the degree of external selfishness that reflects the effect of the external factor (task characterization and incentive/punishment mechanism) on the node-selfishness. Given an incentive/punishment mechanism, the minimum resource-consumption compensation paid by an automatic node to the nodes around for forwarding multiple tasks is determined in terms of their information on the node-selfishness. Furthermore, this automatic node can predict the node-selfishness of the nodes around this node.