基于语义的负载均衡策略与传统策略的比较

Comparison between semantics-based load balancing strategy with conventional one

以传统负载均衡策略为基准,对基于应用层语义的负载均衡策略进行了全面的分析研究.指出了后者具有自动鉴别数据报内容与虚知识库数据信息,并能通过提高节点的Cache命中率提高系统性能的明显优势.最后,从排队论观点证明了基于语义的负载均衡系统能显著降低系统的平均响应时间.

Taking the conventional load balancing strategy as a basis, a semantics-based load balancing strategy on application level is comprehensively analyzed and investigated. It is pointed out that the latter is remarkably superior in automatic identification of data-report content, data information of virtual knowledge library, and improvement of system performance by means of improving the percentage of hits of nodal Cache. Finally, it is verified from the point on view of the queuing theory that the average response time of system can remarkably be reduced by using semantics-based load balancing system.