CAJ | 학술논문

为研究在云服务模式中虚拟机资源数目和调度对基础设施提供商( Infrastructure Provider, IP)的利润影响,建立了云基础设施提供商的利润模型,并根据微观经济学的原理,计算使云基础设施提供商利润最大化的虚拟机资源数目。引入粒子群算法,对数据中心虚拟机资源的调度进行建模分析,根据客户需求和当前数据中心的负载状态,以最大化资源利用率、最小化所占用物理机的数目和虚拟机迁移次数为目标,提出了基于增强型多目标粒子群算法的虚拟机资源调度策略EPSO-VM。实验结果表明,该策略能够提高资源利用率,降低占用物理机数目和虚拟机迁移次数,以提高IP的利润。
위연구재운복무모식중허의궤자원수목화조도대기출설시제공상( Infrastructure Provider, IP)적리윤영향,건립료운기출설시제공상적리윤모형,병근거미관경제학적원리,계산사운기출설시제공상리윤최대화적허의궤자원수목。인입입자군산법,대수거중심허의궤자원적조도진행건모분석,근거객호수구화당전수거중심적부재상태,이최대화자원이용솔、최소화소점용물리궤적수목화허의궤천이차수위목표,제출료기우증강형다목표입자군산법적허의궤자원조도책략EPSO-VM。실험결과표명,해책략능구제고자원이용솔,강저점용물리궤수목화허의궤천이차수,이제고IP적리윤。
In order to study the profit effects of virtual machine resources and scheduling of the In-frastructure Provider ( IP) in the cloud, an Infrastructure Providers'profit model is established, and based on the principle of microeconomics the number of virtual machines is calculated to maximize the profit of Infrastructures Providers.By using the particle swarm optimization theory, the virtual machine resource scheduling in the data center is modeled and analyzed.Based on the demands of users and the current workload of the data center, an Enhanced Multi-Objectives Particle Swarm Op-timization based Virtual Machine Scheduling Strategy ( named EPSO-VM) is presented, to achieve the goals including maximizing resource utilization, minimizing the number of occupied physical ma-chines and virtual machine migrations, The experimental result shows that EPSO-VM can improve resource utilization, and reduce the number of occupied physical machines and virtual machine mi-grations so as to increase profit of Infrastructure Providers.