CAJ | 학술논문

为解决云联盟环境下跨数据中心的资源调度问题，在满足数据中心负载率达到均衡的前提下，实现供应商利益的最大化，使得用户的任务能够在最短的时间内完成部署，提出云联盟环境下跨数据中心的资源调度系统框架。介绍系统的结构和功能，分4个层次描述系统详细设计，给出系统采用的核心算法———蚁群算法，实现了该系统的开发。该系统能够整合云供应商的现有资源信息，为云用户提供便利服务，满足大规模复杂的用户需求，提高云联盟之间的资源调度效率和收益。
위해결운련맹배경하과수거중심적자원조도문제，재만족수거중심부재솔체도균형적전제하，실현공응상이익적최대화，사득용호적임무능구재최단적시간내완성부서，제출운련맹배경하과수거중심적자원조도계통광가。개소계통적결구화공능，분4개층차묘술계통상세설계，급출계통채용적핵심산법———의군산법，실현료해계통적개발。해계통능구정합운공응상적현유자원신식，위운용호제공편리복무，만족대규모복잡적용호수구，제고운련맹지간적자원조도효솔화수익。
To solve the problem of resource scheduling for cloud federation across multi-data center,a framework of resource scheduling system for cloud federation across multi-data center was constructed which maximized benefits of the cloud providers as well as completed the deployment of the user’s tasks in the shortest possible time on the premise that the load rate of data cen-ters reached balance.Firstly,the system structure and functions were introduced.Secondly,the design of the system was de-tailed in four levels.Thirdly,the employment of core algorithm which was ant colony algorithm was descrided.And lastly,the system development was realized.The system can provide the cloud users convenient services by integrating the existing informa-tion of cloud providers.It not only meets the large-scale demand of users,but also improves the efficiency and benefits of resource scheduling for cloud federation.