An optimization process for adaptation space exploration of service-oriented applications

R. Mirandola, P. Potena, P. Scandurra
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引用次数: 3

Abstract

This paper proposes an automatic optimization process for adaptation space exploration of service-oriented applications based on trade-offs between functional and extra-functional requirements. The optimization method combines both meta-heuristic search techniques and the use of functional/extra-functional patterns (i.e., architectural design patterns and tactics). Moreover, the proposed approach relies on the standard Service-oriented Component Architecture (SCA) for heterogeneous service assembly and its runtime platforms.
面向服务应用适应空间探索的优化过程
本文提出了一种基于功能需求和功能外需求权衡的面向服务应用自适应空间探索自动优化流程。优化方法结合了元启发式搜索技术和功能/功能外模式(即架构设计模式和策略)的使用。此外,所建议的方法依赖于异构服务组装及其运行时平台的标准面向服务组件体系结构(SCA)。
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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