基于交互式POMDP的交互式服务组合模型

Jinyuan He, Le Sun
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摘要

顺序决策技术已被应用于解决云服务的选择和组合问题。然而,现有的研究很少关注在部分可观察的多智能体交互环境下的云服务组合。本文提出了一个交互式服务组合模型I-SerCom,该模型应用交互式部分可观察马尔可夫决策过程(I-POMDP)来帮助服务购买者制定顺序服务选择策略。I-SerCom使买方能够通过考虑服务市场状态的变化和其他相关代理意图的演变来做出决策。我们使用交互影响图(I-DID)来图形化地表示模型。I-DID分解使模型描述更加明确,简化了模型求解过程。本文以云服务选择为例介绍了I-SerCom的过程,并得出I-SerCom是一种有效的服务组合方法的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Service Composition Model Based on Interactive POMDP
Sequential decision making techniques have been applied to solve problems of Cloud service selection and composition. However, existing researches rarely focus on studying Cloud service compositions in a partially observable multiagent interactive environment. In this paper, we propose an interactive service composition model I-SerCom that applies the Interactive Partially Observable Markov Decision Process (I-POMDP) to help service buyers make sequential service selection policies. I-SerCom enables buyers make decisions by considering both changes of states of service marketplaces and an evolution of the intention of other involved agents. We use Interactive Influence Diagram (I-DID) to graphically represent the model. The I-DID factorization makes the model description more explicit and simplifies the model solving process. We use a case study of cloud service selection to present the process of I-SerCom, and conclude that I-SerCom is an efficient method for service composition.
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