基于松弛的SaaS在云计算上修复失败查询

Abderrahim Ait Wakrime, S. Benbernou, Saïd Jabbour
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引用次数: 9

摘要

基于云计算的软件即服务(SaaS)结合了多个Web服务来满足SaaS请求,因此SaaS应该能够动态地寻找故障或性能不佳的服务的替代品,从而执行自我修复。但是,可能出现可用服务与所有用户的请求不匹配的情况,从而导致系统陷入停顿。最好在云中有一个备选方案,同时不满足所有约束。在本文中,我们提供了一个松弛的SaaS解决方案,通过近似重写来修复失败的用户查询。它基于一种增量方法,该方法利用Quantified Satisfiability (QSAT)问题来修复查询,并提供一种可替代的SaaS,该SaaS导致一个成功的请求接近原始请求,并具有最大的服务质量(QoS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relaxation Based SaaS for Repairing Failed Queries over the Cloud Computing
Cloud Computing based Software as a Service (SaaS) combines multiple Web Services to satisfy a SaaS request, therefore SaaS should be able to dynamically seek replacements for faulty or underperforming services, thus performing self-healing. However, it may be the case of available services that do not match all user's request, leading the system to grind to a halt. It is better to have an alternative candidate in the cloud while not fullfilling all the constraints. In this paper, we provide a Relaxation SaaS solution to repair the failed user's query by rewriting it with an approximation. It is based on an incremental approach that exploits Quantified Satisfiability (QSAT) problem to repair the query and provide an alternative SaaS that leads to a successful request closed to the original one with maximized Quality of Service (QoS).
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