摘要
进行移动网络服务信息传输中冗余量消除,可以减少移动网络的内存,使移动网络有更多的空间处理各类型的服务。进行冗余量消除时,需要获取移动网络冗余流量的判断阈值,对冗余流量和正常流量进行有效划分,传统方法利用基于时间演化的加权二分移动网络冗余流量消除模型,进行冗余流量消除,但无法获取移动网络冗余流量的判断阈值,不能对冗余流量和正常流量进行有效划分,容易消除正确的流量,降低了冗余量消除的有效性。提出一种采用动态查找表的移动网络冗余流量消除方法。上述方法先用动态查找表计算出移动网络冗余流量的判断阈值,给出移动网络中各个数据块流量冗余频率贡献度,将一部分对冗余流量贡献较小的数据块视为对冗余消除过程无用的数据,并提取冗余流量数据的信息增益特征,对移动网络全部流量属性进行分类,从而利用分类的结果有效地消除移动网络冗余流量。仿真结果表明,所提方法可以有效地消除移动网络冗余流量。
Eliminating redundancy can reduce the internal storage of mobile network and makes the network have more space to process types of service during service information transmission. It needs to obtain judging threshold of redundant traffic to divide redundant traffic and normal flow effectively during redundancy elimination. Traditional method uses the weighting dichotomy redundancy elimination model based on time evolution to eliminate redundancy. It can not obtain the judging threshold and divide the redundant traffic and normal flow effectively. So it is easy to eliminate the correct flow and reduces the validity of redundancy elimination. In this paper, we proposed a redundancy elimination method using dynamic look-up table. Firstly, the method worked out the judging threshold using the dy- namic look-up table. It gave the flow redundancy frequency contribution degree of each data block in mobile network. Then we regarded the data block with small contribution to redundancy flow as the useless data during redundancy elimination. Finally we extracted the information gain feature of redundancy data to divide all flow attributes in mobile network. Thus the redundancy flow can be eliminated effectively using sort results in mobile network. The simulation results show that the method mentioned above can eliminate the redundancy flow in mobile network effectively.
出处
《计算机仿真》
CSCD
北大核心
2016年第11期294-297,共4页
Computer Simulation
关键词
海量数据干扰
移动网络
冗余流量消除
Massive data interference
Mobile network
Redundant traffic elimination
