计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (17): 123-126.

• 网络、通信与安全 • 上一篇    下一篇

基于生物网络中间件的网络自适应性研究

丁永生1,2,张向锋1,任立红1,孙 霏1   

  1. 1.东华大学 信息科学与技术学院,上海 201620
    2.数字化纺织服装技术教育部工程研究中心,上海 201620
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-11 发布日期:2007-06-11
  • 通讯作者: 丁永生

Study on network adaptation based on bio-network middleware

DING Yong-sheng1,2,ZHANG Xiang-feng1,REN Li-hong1,SUN Fei1   

  1. 1.College of Information Sciences and Technology,Donghua University,Shanghai 201620,China
    2.Engineering Research Center of Digitized Textile & Fashion Technology,Ministry of Education,Shanghai 201620,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-11 Published:2007-06-11
  • Contact: DING Yong-sheng

摘要: 自适应性网络环境将成为未来Internet的不可缺少的重要构成部分,基于生物网络中间件设计了自适应软件体系结构,然后设计了一种特殊的生物实体——调度生物实体,利用调度实体来指导生物实体的移动,以期获得生物网络的负载平衡。提出一种基于免疫遗传算法的调度算法,该算法以网络负载平衡为优化目标,使实体相对均衡地提供服务,达到合理利用生物网络资源,增强其自适应性的目的。最后,对网络服务使用进行仿真,实验结果证明了算法的有效性。

Abstract: Adaptive network environments will become an indispensable important component of future Internet,and adaptive software architecture is designed based on the bio-network middleware.A scheduling entity,which is a special bio-entity,is designed and utilized to guide migration of bio-entities in order to acquire load balancing of the bio-network.Also,a load balancing algorithm is proposed based on immune genetic algorithm.The algorithm aims at optimizing network load balancing and making bio-entities provide harmonically services to make full use of bio-network resource and enhance adaptability of bio-network.Finally,network services utilization is simulated and the experiment results show the validity of the algorithm.