Taxonomy-Driven Adaptation of Multi-layer Applications Using Templates

R. Popescu, A. Staikopoulos, Peng Liu, Antonio Brogi, S. Clarke
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引用次数: 33

Abstract

Current adaptation approaches mainly work in isolation and cannot be easily integrated to tackle complex adaptation scenarios. The few existing cross-layer adaptation techniques are somewhat inflexible because the adaptation process is predefined and static. In this paper we propose a methodology for the dynamic and flexible adaptation of multi-layer applications. We use events to trigger the process of matching adaptation templates, which expose adaptation logic as BPEL processes. The matching process employs taxonomies of adaptation mismatches to select adaptation templates based on the degree of match between events and adaptation mismatches. We provide support for cross-layer adaptation by allowing templates to be composed either directly, through invocations of WSDL operations or indirectly, through events.
使用模板的多层应用程序的分类驱动适应
目前的适应方法主要是孤立地工作,不容易综合起来处理复杂的适应情景。现有的几种跨层自适应技术有些不灵活,因为自适应过程是预定义的和静态的。本文提出了一种动态灵活适应多层应用的方法。我们使用事件来触发匹配适应模板的流程,该流程将适应逻辑公开为BPEL流程。匹配过程采用适应错配分类法,根据事件与适应错配的匹配程度选择适应模板。通过允许直接(通过WSDL操作调用)或间接(通过事件)组合模板,我们提供了对跨层适应的支持。
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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