Energy-aware application scheduling based on genetic algorithm
文献类型:会议论文
作者 | Wen gaojin; Feng shengzhong; Wan yanyi; Jiang pingchuang; Zhang senlin |
出版日期 | 2011 |
会议名称 | 2011 7th International Conference on Natural Computation |
会议地点 | Shanghai, China |
英文摘要 | As cloud computing is expected to expand rapidly in the coming years, the large-scale computing and data centers are becoming more and more widespread in the world. Energy consumption of these distributed systems has become a urgent problem and received much attention. Application Scheduling can alleviate this problem by reducing the number of running nodes and effectively maximizing total system efficiency. This paper focuses on scheduling applications in large-scale data centers using genetic algorithm. Specifically, we present the design and implementation of the cost function, the modification of the genetic operators and the choice of the data transition weight. The algorithm is studied via simulation and implementation in a large-scale data center. Test results and performance discussion justify the feasibility of the scheduling algorithm. From the results, we know that the proposed application scheduling method can be useful in practice, which can reduce the running nodes and minimize the cost of data transferred among the nodes efficiently. © 2011 IEEE.(19 refs) |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/3641] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2011 |
推荐引用方式 GB/T 7714 | Wen gaojin,Feng shengzhong,Wan yanyi,et al. Energy-aware application scheduling based on genetic algorithm[C]. 见:2011 7th International Conference on Natural Computation. Shanghai, China. |
入库方式: OAI收割
来源:深圳先进技术研究院
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