摘要
针对移动云计算中的能耗优化问题,考虑业务订购对传输能耗的影响,根据李雅普诺夫优化方法,提出了一种业务推送策略.该策略根据控制阈值、数据积压量和信道状态来动态地向用户推送云计算业务,并根据用户订购业务的情况及时地交付业务数据.仿真结果表明,该算法不仅能够有效减少传输能耗,延长移动终端的电池续航时间,而且还能减少信道中的数据积压量以及不必要的业务订购开销,提高了用户感知度.
Aiming to the energy consumption optimization problem in mobile cloud computing, a new services promote Lyapunov--based strategy is proposed, which considering the effect of order services on transmission energy consumption. The proposed strategy can promote cloud computing services to users based on the threshold control, queue backlog and channel state, and it according to the channel transmission rate and subscribed services to deliver the services data in time. Simulation results show that the proposed strategy not only can effectively reduce the transmission energy consumption and extend the battery time of mobile devices, but also can reduce queue backlog and unnecessary order services cost.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第6期138-144,共7页
Journal of Xidian University
基金
国家自然科学基金资助项目(61173017)
国家高技术研究发展计划资助项目(2014AA01A701)
2013年度湖南省教育厅科学研究资助项目(13C613)
关键词
云计算
移动云计算
移动代理
数据传输
能耗
cloud computing
mobile cloud computing
mobile agent
data transfer
energy consumption
