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| 优化人工蜂群算法的跨域虚拟网络映射算法 | |
| 引用本文： | 顾艳林. 优化人工蜂群算法的跨域虚拟网络映射算法[J]. 华侨大学学报(自然科学版), 2016, 0(4): 507-510. DOI: 10.11830/ISSN.1000-5013.201604023 |
| 作者姓名： | 顾艳林 |
| 作者单位： | 内蒙古财经大学 计算机信息管理学院, 内蒙古 呼和浩特 010020 |
| 基金项目： | 内蒙古自治区教育科学规划课题(GJ2011-51-02) |
| 摘 要： | 针对跨域虚拟网络映射问题,提出一种基于优化人工蜂群算法的跨域虚拟网络映射算法.该算法采用集中管理、分布控制的方式实现物理网络资源的有效利用,并就人工蜂群算法收敛速度慢、局部最优缺点,提出寻优能力更强的优化人工蜂群算法进行域间映射请求的划分.实验结果表明:与LID-MVNE算法、Policy-MVNE算法、GA-MVNE算法相比,所提算法能够以更小的额外开销、更少的划分时间实现更高的接受率. |
| 关 键 词： | 人工蜂群 虚拟网络 自治域 服务代理 |
Multi-Domain Virtual Network Mapping Algorithm Based on Optimized Artificial Bee Colony |
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| GU Yanlin. Multi-Domain Virtual Network Mapping Algorithm Based on Optimized Artificial Bee Colony[J]. Journal of Huaqiao University(Natural Science), 2016, 0(4): 507-510. DOI: 10.11830/ISSN.1000-5013.201604023 | |
| Authors: | GU Yanlin |
| Affiliation: | College of Computer Science and Technology, Inner Mongolia University of Finance and Economics, Huhehaote 361021, China |
| Abstract: | Aiming at the problem of multi-domain virtual network embedding, a multi-domain virtual network mapping algorithm based on optimized artificial bee colony is proposed. The proposed algorithm can maximize the utilization of limited physical network resources through centralized management and distributed control. And to overcome the defaults of the local optimization and low convergence of the traditional artificial bee colony algorithm, an optimized artificial bee colony algorithm is proposed, which is used to deal with the division of cross-domain mapping request. The experimental result shows that compared with LID-MVNE, Policy-MVNE, GA-MVNE, the proposed algorithm can realize higher acceptance ratio with less extra cost and time division. |
| Keywords: | artificial bee colony virtual network autonomous domain service agent |
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