借鉴生物神经内分泌和免疫系统的自进化突现机制,基于生物网络的平台提出了e—service突现的组合方法。生物实体(具有免疫行为的移动agent)代理e—service,构成为一个带有条件米兰机单元,e—service组合可以转换为米兰机演化过程。生物实体通过消息匹配和条件约束形成网络,e—service组合是由突现形成的生物实体网络提供;服务突现可以动态调整其中的服务,自组织完成服务的动态组合和管理等工作。仿真结果表明该方法具有对动态环境变化的适应性。
Inspired by the self-evolutionary characteristics of system emergence in biological neuroendocrine and immune system, this paper proposed a method of e-service emergence in bio-network platform. Mobile agent was designed as a bio-entity with biological immune operation, which was applied to represent e-service, corresponds to the unit of Melay machine. The composition of e-service was translated into the evolution of Melay machine. Bio-entities constructed network through message matching and condition restriction. The measure of the affinity was based on the matching strength, the service quality score and the trust. The e-service composition was provided by emergent network of bio-entities. Service may be added or removed dynamically in service emergence. The method completed a series of work from composition to management autonomously. It shows adaptability to dynamic environment with the simulation result.