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Admission Control for WebServices in Enterprise Systems Using Expert Systems

机译:使用专家系统的企业系统中的WebServices的录取控制

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Presently, in order to make connections among applications in heterogeneous environments, webservices are utilized. QoS is one of the nonfunctional topics of webservices being the subject matter of a lot of research works. Considering the multiplicity of systems which are connected together, and on the other hand, notifying the shared resources, a system may face congestion problem if there is no admission control applied. In this article to solve the problem, we will propose a mechanism covering admission control for webservices in enterprise systems. In this mechanism, for each webservice, the rate of resource consumption and the time taken for its execution are evaluated. Then, by receiving requests, functionality of webservice is investigated and stored as learning data. In case the webservice cannot respond in the allocated time, the system will sense the probability of congestion. This mechanism uses Naive Bayesian method to predict next status of system. Admission control mechanism, considering the present status of the system and learning data, will distinguish what kind of response should be given to the requester of the service in order to protect the system from congestion. Consequently, by using this method, we can tackle with congestion problem when we use webservices in enterprise systems.
机译:目前,为了在异构环境中的应用中建立连接,使用WebServices。 QoS是WebServices的非功能官能主题之一是大量研究工作的主题。考虑到连接在一起的多个系统,另一方面,如果没有应用进度控制,则系统可以面对拥塞问题。在本文中解决了问题,我们将提出一个机制,涵盖企业系统中WebServices的录取控制。在这种机制中,对于每个Web服务,评估资源消耗率以及执行其执行所花费的时间。然后,通过接收请求,研究了Web服务的功能并将其存储为学习数据。如果WebService无法在分配的时间内响应,系统将感知拥塞的概率。该机制使用Naive Bayesian方法来预测系统的下一个状态。准入控制机制,考虑到系统和学习数据的现状,将区分应给予服务请求者的响应,以便保护系统免受拥塞。因此,通过使用此方法,我们可以在企业系统中使用WebServices时解决拥塞问题。

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