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Performance Optimization for Composite Services in Multiple Networks Environment

机译:多网络环境下组合服务的性能优化

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With the prevalence of web services, services orchestration evolves from intra-enterprise integration to cross-domain integration and involves multiple networks. In traditional centralized SOA, the execution engine suffers from single point of failure and performance of composite services will be affected by the network conditions because of cross domain message transmissions. In this paper, we present a decentralized orchestration model for cross-domain multiple networks environment. Based on this model, we propose a Genetic Algorithm to find an optimization deployment solution for component services with minimum cross-domain network cost and thus increase the performance of composite services.
机译:随着Web服务的普及,服务编排从企业内部集成演变为跨域集成,并涉及多个网络。在传统的集中式SOA中,执行引擎会遇到单点故障,并且由于跨域消息传输,复合服务的性能会受到网络状况的影响。在本文中,我们提出了一种针对跨域多网络环境的分散业务流程模型。在此模型的基础上,我们提出了一种遗传算法,以最小的跨域网络成本找到组件服务的优化部署解决方案,从而提高了组合服务的性能。

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