CAJ | 학술논문

针对用户、服务提供商(SP)和基础设施提供商三者之间的市场行为所带来的收益问题，该文面向服务提供商提出了一种两阶段多虚拟机资源分配机制。首先，建立能力规划模型并引入粒子群算法，决策出服务提供商收益最大化的资源购买方案。然后，提出一种优化用户满意度的服务提供策略，优化了服务提供商的长期收益。最后仿真实验结果表明，该方法有效提高了服务提供商的收益，并取得了较好的用户满意度。
침대용호、복무제공상(SP)화기출설시제공상삼자지간적시장행위소대래적수익문제，해문면향복무제공상제출료일충량계단다허의궤자원분배궤제。수선，건립능력규화모형병인입입자군산법，결책출복무제공상수익최대화적자원구매방안。연후，제출일충우화용호만의도적복무제공책략，우화료복무제공상적장기수익。최후방진실험결과표명，해방법유효제고료복무제공상적수익，병취득료교호적용호만의도。
Considering Service Providers (SP) revenue optimization issue, a two-stage multi-virtual machine resource provisioning mechanism is proposed in this paper. Firstly, a capacity planning model is proposed and the particle swarm algorithm is used to make resource purchase set, which can gain the maximize profit for SP. Then, a utility function to measure customer’s satisfaction is proposed to optimize SP’s profit in the long way. Simulation experimental results show that the proposed method improves effectively SP’s profit, and gains better user’s satisfaction.