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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Web服务的准入控制

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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:当前,为了在异构环境中的应用程序之间建立连接,使用了Web服务。 QoS是Web服务的非功能性主题之一,是许多研究工作的主题。考虑到连接在一起的多个系统,另一方面,通知共享资源,如果不应用准入控制,则系统可能会遇到拥塞问题。在本文中,为了解决该问题,我们将提出一种机制,该机制涵盖企业系统中Web服务的准入控制。在这种机制下,对于每个Web服务,都将评估资源消耗的速率以及其执行所花费的时间。然后,通过接收请求,调查Web服务的功能并将其存储为学习数据。如果Web服务无法在分配的时间内响应,则系统将检测到拥塞的可能性。该机制使用朴素贝叶斯方法来预测系统的下一个状态。准入控制机制,考虑到系统的当前状态和学习数据,将区分应该对服务的请求者做出什么样的响应,以保护系统免于拥塞。因此,通过使用这种方法,我们可以在企业系统中使用Web服务时解决拥塞问题。

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