外文翻译--通过蚁群算法来定位处理计算机网络上的故障.doc

2016 届本科毕业论文（设计） 中英文翻译 学生姓名： XXXXXXX 所在学院： 信息工程学院 所学专业： 计算机科学与技术 导师姓名： XXXXXX 完成时间： 2016年5月17 日 Fault localization based on combines active and passive measurements in computer networks by ant colony optimization Abstract:As computer networks continue to grow in size and complexity, effective network management is expected to become even more crucially important and more challenging. Computer network applica-tions can be plagued by a variety of software or hardware faults. These faults can be critical and costly in the debugging and deployment of networks. In general, fault management in computer networks comprises four steps: fault detection, fault localization, repairing and testing. Among these steps, fault localization has been considered the most important step of fault management. Therefore, we focus on the study of fault localization and proposed an approach based on Ant Colony algorithm to fault loca-lization in computer networks. We also evaluate the proposed approach by simulations, and show that our algorithm is superior to the other fault localization algorithms. With the rising of various network applications, users demand better quality of service. One of the most crucial issues is to maintain the network availability and reliability. Faults are ines-capable in communication networks, their immediate detection and isolation is necessary. It is not easy to do with network faults only by network operators in short time due to the complexity of the network. To shorten the fault localization response time and release network operators, automated fault management is an acceptable goal of Network Management System (NMS) imple-mentation for large-scale networks. The process of fault management in computer networks com-prises four steps, which are fault detection, fault localization, repairing and testing. In the first s