Multi-agent Web Service Composition using Partially Observable Markov Decision Process

Joel Christian, M. Bohara
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Abstract

Web Service Composition using Markov Decision Process provides a good result using Reinforcement Learning of Artificial Intelligence. But the problem when dealing with MDP is that is assumes that all the information related to the variable is provided accurately. In case of QoS aware Web Service Composition it is not possible that all the QoS parameters are accurately provided. So to handle legacy of QoS parameter and still doing Web Service Composition is an issue. This paper provides a technique to deal with this problem.
使用部分可观察马尔可夫决策过程的多代理Web服务组合
基于马尔可夫决策过程的Web服务组合采用人工智能的强化学习方法,获得了较好的组合效果。但是处理MDP时的问题是,它假设与变量相关的所有信息都准确地提供了。在QoS感知Web服务组合的情况下,不可能准确地提供所有QoS参数。因此,在处理QoS参数遗留问题的同时仍然进行Web服务组合是一个问题。本文提供了一种处理这一问题的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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