【24h】

RESEARCH ON IMPROVED GRID RESOURCE DISCOVERY ALGORITHM BASED ON P2P NETWORK SYSTEM

机译:基于P2P网络系统的改进网格资源发现算法研究。

获取原文
获取原文并翻译 | 示例

摘要

At present, there are still many problems to be resolved in P2P network. For example, it is inefficient to organize and manage the grid resources, and there is no way to deal with resource updating brought by dynamic change of the grid resources, besides, there is no efficient strategy of discovering grid resources, etc. Mobile Agent, which has its own advantages such as mobility, distribution, concurrency and intelligent routing, should be effectively applied to the P2P network system. This paper firstly puts forward the network model of P2P system based on Mobile Agent, under which the resource discovery algorithm-GAMA (Genetic Algorithm Mobile Agent), which is integrated with genetic algorithms and Mobile Agent, has been put forward, then analyze the principle of integration, and show the explanations of integration process as well as more detailed description of the algorithm.
机译:当前,在P2P网络中仍有许多问题需要解决。例如,组织和管理网格资源效率低下,没有办法处理由网格资源的动态变化带来的资源更新,此外,没有发现网格资源的有效策略等。具有移动性,分布性,并发性和智能路由等优势的P2P网络系统应得到有效应用。本文首先提出了基于Mobile Agent的P2P系统网络模型,提出了将遗传算法与Mobile Agent相集成的资源发现算法-GAMA(Genetic Algorithm Mobile Agent),然后对其原理进行了分析。积分,并说明积分过程以及对该算法进行更详细的描述。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号