Data Cache Strategy Based on Colony Algorithm in Mobile Computing Environment

Yan Chu, Jianpei Zhang, C. Zhao
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引用次数: 1

Abstract

In mobile computing environments, the limited bandwidth of wireless communications, the weak capability of mobile computing equipments and the valuable power make it difficult for mobile devices to be maintained with the network all the time. Cache technique caches part of data in the clients to reduce the query of database server, so it solves the problem to some extent. Research on cache strategy for mobile computing environment has become an important research direction. Based on the analysis of existing cache strategy, we studied the cache strategy based on mobile agent further. In order to make Mobile Agents have the real and effective collaboration and not limited reference to the conceptual level, we use the ant colony algorithm to propose the data cache strategy based on ant colony algorithm. Finally, we give the experiment to show the superiority.
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移动计算环境下基于群体算法的数据缓存策略
在移动计算环境下,无线通信的带宽有限,移动计算设备的能力较弱,功耗昂贵,使得移动设备难以随时与网络保持联系。缓存技术通过在客户端缓存部分数据,减少对数据库服务器的查询,在一定程度上解决了这个问题。移动计算环境下的缓存策略研究已成为一个重要的研究方向。在分析现有缓存策略的基础上,进一步研究了基于移动代理的缓存策略。为了使移动代理具有真实有效的协作,而不局限于概念层面的参考,我们利用蚁群算法提出了基于蚁群算法的数据缓存策略。最后通过实验证明了该方法的优越性。
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