arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1306.6597cs.DC
收藏

基于地震灾害的IaaS云资源高效利用技术

Earthquake Disaster based Efficient Resource Utilization Technique in IaaS Cloud

Sukhpal Singh, Rishideep Singh

摘要:

云计算是一个新兴领域。强震后初期搜救的主要目标是降低死亡人数。在这一时期出现的一个主要问题是,如何将现有资源最大限度地分配给功能区。针对这一问题,提出了一种动态优化模型。该模型使用对操作区域和可用资源的全面描述来确定与响应相关的不同工作负载的资源性能和效率。并给出了模型的求解方法。本文提出了基于地震灾害的资源调度框架。根据紧急程度(地震灾害期间的紧急情况)向云工作负载分配资源。在此基础上提出了资源调度算法。通过CloudSim仿真软件对该算法与现有常用调度算法的性能进行了比较。实验结果表明,与现有算法相比,该算法降低了云消费者工作负载提交到云的执行成本和时间。

英文摘要:

Cloud Computing is an emerging area. The main aim of the initial search-and-rescue period after strong earthquakes is to reduce the whole number of mortalities. One main trouble rising in this period is to and the greatest assignment of available resources to functioning zones. For this issue a dynamic optimization model is presented. The model uses thorough descriptions of the operational zones and of the available resources to determine the resource performance and efficiency for different workloads related to the response. A suitable solution method for the model is offered as well. In this paper, Earthquake Disaster Based Resource Scheduling (EDBRS) Framework has been proposed. The allocation of resources to cloud workloads based on urgency (emergency during Earthquake Disaster). Based on this criterion, the resource scheduling algorithm has been proposed. The performance of the proposed algorithm has been assessed with the existing common scheduling algorithms through the CloudSim. The experimental results show that the proposed algorithm outperforms the existing algorithms by reducing execution cost and time of cloud consumer workloads submitted to the cloud.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑