西安电子科技大学学报(自然科学版)
西安電子科技大學學報(自然科學版)
서안전자과기대학학보(자연과학판)
JOURNAL OF XIDIAN UNIVERSITY(NATURAL SCIENCE)
2015年
1期
16-22
,共7页
常磊%顾华玺%张之义%余晓杉%赵彦
常磊%顧華璽%張之義%餘曉杉%趙彥
상뢰%고화새%장지의%여효삼%조언
控制转发分离网络构架%虚拟网络映射%离散粒子群算法%用户优先级
控製轉髮分離網絡構架%虛擬網絡映射%離散粒子群算法%用戶優先級
공제전발분리망락구가%허의망락영사%리산입자군산법%용호우선급
forwarding and control separation network%virtual network embedding%discrete particle swarm optimization%user-priority
以底层网络资源利用率最大化为目标,对控制转发分离网络建立基于“资源抢占+重映射”的用户优先级虚拟网络映射整数线性规划模型,并提出了一种改进离散粒子群算法来解决虚拟网络映射问题。该算法的粒子进化更具方向性,同时引进不同粒子位置互斥因子,解决粒子群算法易早熟陷入局部最优解的缺陷。最后通过仿真实验从节点资源利用率、链路资源利用率、一般虚拟网络接受率、平均跳数和长期运营收益成本比等方面,将改进离散粒子群算法与贪婪算法和二进制离散粒子群算法对比,验证了改进离散粒子群算法的高性能。
以底層網絡資源利用率最大化為目標,對控製轉髮分離網絡建立基于“資源搶佔+重映射”的用戶優先級虛擬網絡映射整數線性規劃模型,併提齣瞭一種改進離散粒子群算法來解決虛擬網絡映射問題。該算法的粒子進化更具方嚮性,同時引進不同粒子位置互斥因子,解決粒子群算法易早熟陷入跼部最優解的缺陷。最後通過倣真實驗從節點資源利用率、鏈路資源利用率、一般虛擬網絡接受率、平均跳數和長期運營收益成本比等方麵,將改進離散粒子群算法與貪婪算法和二進製離散粒子群算法對比,驗證瞭改進離散粒子群算法的高性能。
이저층망락자원이용솔최대화위목표,대공제전발분리망락건립기우“자원창점+중영사”적용호우선급허의망락영사정수선성규화모형,병제출료일충개진리산입자군산법래해결허의망락영사문제。해산법적입자진화경구방향성,동시인진불동입자위치호척인자,해결입자군산법역조숙함입국부최우해적결함。최후통과방진실험종절점자원이용솔、련로자원이용솔、일반허의망락접수솔、평균도수화장기운영수익성본비등방면,장개진리산입자군산법여탐람산법화이진제리산입자군산법대비,험증료개진리산입자군산법적고성능。
In the forwarding and control separation network,we model the user-priority virtual network embedding problem as an integer linear programming,which is achieved with resource grabbing and re-mapping aiming at maximizing the resource utilization of the substrate physical network.And we propose a modified discrete particle swarm optimization algorithm (M?DPSO) for short to solve the VN embedding problem.In the M?DPSO,the particle evolves more directionally,and the mutually exclusive factor of different particle positions is introduced to resolve the problem of premature and easily becoming local optimal solution.Finally,the performance parameters,including node resource utilization,link resource utilization,the VN accept rate,the average j ump number and the long-term operators benefit cost ratio,are evaluated by emulation experiments. In contrast to the greedy algorithm and binary particle swarm optimization algorithm,the M?DPSO is verified to be of high performance.