摘要
移动云环境下多DAG节能调度MEO与MES算法主要是基于智能手机能耗模型,通过充分合理地利用集群任务间的松弛时间,在执行任务许可的情况下,通过任务合并的方式尽可能减少服务器的使用数目并降低传输能耗,最终实现总能量的节约与开销。特别是随着任务数的增多,MEO算法与MES算法更能突显节能的效果,其最高节能效果可达20%以上,节能优势最明显。
Under the cloud environment,the MEO and MES algorithms with multi-DAG energy saving scheduling are mainly on basis of the energy consumption model of smart phones to use the relaxation time among the cluster tasks fully and reasonably.If circumstances permitting,the number of the servers can be reduced through the combination of tasks to reduce the transmission energy consumption,finally,the total energy savings and spending are achieved.With the increase of tasks,MEO and MES algorithms can highlight the energy saving effect as much more as20%,energy saving advantages are most obvious.
作者
薛慧丽
邵孟良
XUE Hui-li;SHAO Meng-liang(School of Information Engineering/Guangzhou Nanyang Polytechnic College, Guangzhou 510925, China;School of Electronic and Communication Engineering/Guangdong Polytechnic Normal University, Guangzhou 510665, China)
出处
《山东农业大学学报（自然科学版）》
CSCD
2017年第3期327-333,共7页
Journal of Shandong Agricultural University：Natural Science Edition
基金
2016年广州市科技计划项目产学研重大专项(201604010103)
广东高职教育研究会2015年课题(GDGZ15Y134)
2016年广东高等教育学会高职高专云计算与大数据委员会项目(GDYJSKT16-07)
关键词
移动云计算
多个DAG
节能调度
Mobile cloud computing
multi-DAG
energy saving scheduling
