Controlling energy without compromising system performance in mobile grid environments

Controlling energy without compromising system performance in mobile grid environments
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DOI:
10.1016/j.compeleceng.2009.12.004
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发表时间:
2010
期刊:
Comput. Electr. Eng.
影响因子:
--
通讯作者:
Chunlin Li;La-yuan Li
Chunlin Li;La-yuan Li
中科院分区:
其他
文献类型:
--
作者:
Chunlin Li;La-yuan Li

文献摘要

相似文献

移动网格系统面临的挑战是:有限的CPU能力、有限的内存、小屏幕、短电池寿命和间歇性断开。考虑到这些局限性,本文的目标是在不影响系统性能的前提下控制移动网格中的能量消耗。在本文中,我们主要研究在移动网格环境中使用移动设备。在移动网格环境中,移动设备既可以作为服务消费者,也可以作为有价值的服务提供者,具有两种重要的功能。该方法不仅降低了能耗,而且提高了移动网格环境下的系统性能。效用函数用来表达网格用户的需求、资源提供者的收益函数和系统的目标。采用动态规划方法对移动电网的总效用函数进行优化。提出了一种移动网格环境下的分布式能量控制算法,将移动网格系统优化问题分解为子问题。为了验证该算法的有效性,在实验中对能量控制算法进行了性能评估。
The challenges confronting in mobile grid systems are: limited CPU power, limited memory, small screen, short battery life, and intermittent disconnection. Considering all these limitations, this paper is targeted to control energy consumption without compromising system’s performance in mobile grid. In this paper, we focus on using the mobile devices on the mobile grid environment. Mobile devices can serve two important functions in mobile grid environment either as service consumer or as valuable service providers. The proposed approach is not only to reduce energy consumption, but also to improve system performance in mobile grid environment. Utility functions are used to express grid users’ requirements, resource providers’ benefit function and system’s objectives. Dynamic programming is used to optimize the total utility function of mobile grid. A distributed controlling energy algorithm in mobile grid environment is proposed which decomposes mobile grid system optimization problem into sub-problems. In order to verify the efficiency of the proposed algorithm, in the experiment, the performance evaluation of controlling energy algorithm is conducted.