Taming the 0/1 knapsack problem with monogamous pairs genetic algorithm
This paper defines and explores a somewhat different subclass of genetic algorithm (GA)–a
monogamous pairs genetic algorithm (MopGA) for solving the 0/1 knapsack problems (0/1 …
monogamous pairs genetic algorithm (MopGA) for solving the 0/1 knapsack problems (0/1 …
Virtual machine placement algorithm based on peak workload characteristics
徐思尧， 林伟伟， 王子骏 - Journal of Software, 2016 - jos.org.cn
提出了一种基于虚拟机负载高峰特征的虚拟机放置策略, 通过更好地复用物理主机资源来实现
资源共享, 从而提高资源利用率. 在云环境下, 当多个虚拟机的负载高峰出现在相同的时间段内时 …
资源共享, 从而提高资源利用率. 在云环境下, 当多个虚拟机的负载高峰出现在相同的时间段内时 …
A classification-based virtual machine placement algorithm in mobile cloud computing
Y Tang, Y Hu, L Zhang - … on Internet and Information Systems (TIIS), 2016 - koreascience.kr
In recent years, cloud computing services based on smart phones and other mobile
terminals have been a rapid development. Cloud computing has the advantages of mass …
terminals have been a rapid development. Cloud computing has the advantages of mass …
基于粒子群优化算法的虚拟机部署策略
杨靖， 张宏军， 赵水宁， 占栋辉 - 计算机应用, 2016 - joca.cn
针对云计算基础设施即服务(IaaS) 中的虚拟机部署问题, 提出一种基于粒子群优化(PSO)
算法的部署策略. 由于PSO 算法在处理虚拟机部署这类大规模复杂问题时 …
算法的部署策略. 由于PSO 算法在处理虚拟机部署这类大规模复杂问题时 …
[PDF][PDF] 基于负载高峰特征的虚拟机放置算法
徐思尧， 林伟伟， 王子骏 - 软件学报, 2016 - jos.org.cn
提出了一种基于虚拟机负载高峰特征的虚拟机放置策略, 通过更好地复用物理主机资源来实现
资源共享, 从而提高资源利用率. 在云环境下, 当多个虚拟机的负载高峰出现在相同的时间段内时 …
资源共享, 从而提高资源利用率. 在云环境下, 当多个虚拟机的负载高峰出现在相同的时间段内时 …
Cost-efficient virtual machine management in data centers
TK Sarker - 2016 - eprints.qut.edu.au
Virtual Machine (VM) management is an obvious need in today's data centers for various
management activities and is accomplished in two phases—finding an optimal VM …
management activities and is accomplished in two phases—finding an optimal VM …