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arXiv 1111.2750cs.SE
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基于有限状态机的Web服务可靠性评估模型

Finite State Machine Based Evaluation Model for Web Service Reliability Analysis

Thirumaran. M, Dhavachelvan. P, S. Abarna, Lakshmi. P

摘要:

现在,他们正在考虑在更短的时间内完成的更改,因为反应时间需求每时每刻都在减少。业务逻辑评估模型(BLEM)是针对业务逻辑自动化和方便业务专家编写复杂的业务规则和复杂的计算,而无需昂贵的自定义编程的建议解决方案。BLEM足够强大,可以通过在运行时间分析和评估可计算性和可追溯性以及修改的业务逻辑的其他标准来处理服务故障问题。Web服务和QOS基于服务的可靠性而昂贵地增长。因此,今天的服务提供商认为可靠性是主要因素,服务可靠性中的任何问题都应该克服,以达到预期的可靠性水平。本文提出了一种基于有限状态机(FSM)的Web服务可靠性分析的业务逻辑评估模型,将FSM扩展到分析服务组合集的可靠性,通过分析组合中各参与服务的可靠性及其功能工作流过程,对组合下的服务进行了可靠性分析。利用有限状态机测量质量参数。如果业务逻辑发生任何变化,FSM将自动测量可靠性。

英文摘要:

Now-a-days they are very much considering about the changes to be done at shorter time since the reaction time needs are decreasing every moment. Business Logic Evaluation Model (BLEM) are the proposed solution targeting business logic automation and facilitating business experts to write sophisticated business rules and complex calculations without costly custom programming. BLEM is powerful enough to handle service manageability issues by analyzing and evaluating the computability and traceability and other criteria of modified business logic at run time. The web service and QOS grows expensively based on the reliability of the service. Hence the service provider of today things that reliability is the major factor and any problem in the reliability of the service should overcome then and there in order to achieve the expected level of reliability. In our paper we propose business logic evaluation model for web service reliability analysis using Finite State Machine (FSM) where FSM will be extended to analyze the reliability of composed set of service i.e., services under composition, by analyzing reliability of each participating service of composition with its functional work flow process. FSM is exploited to measure the quality parameters. If any change occurs in the business logic the FSM will automatically measure the reliability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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