基于生物网络中间件的网络自适应性研究

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。

Study on network adaptation based on bio-network middleware

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.