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。
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 algo- rithm 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.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第17期123-126,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60534020)
国家教育部新世纪人才支持计划(the New Century Excellent Talent Foundation from MOE of China under Grant No.NCET- 04- 415)
教育部科技创新工程重大项目培育资金项目(No.706024)
上海市国际科技合作基金项目(No.061307041)
