BIRIS场景中服务组合问题的分类框架

Dian-Hui Chu, Zhongjie Wang, Xiaofei Xu
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引用次数: 0

摘要

服务组合(SC)是当前服务计算领域的研究热点之一。给定特定服务的特定功能和非功能需求,组合算法从现有存储库中选择一组服务组件,并将它们组合在一起作为满足需求的整体解决方案。已经取得了丰硕的成果,如基于模板的作文、基于计划的作文、自动化/半自动化/人工作文等。然而,随着BIRIS成为现代服务系统的主导形式,一系列新特征的出现给传统的SC研究带来了巨大的挑战,如:(1)从单一需求到临时顺序需求,(2)可用服务从丰富到有限,(3)从面向编排的组合解决方案到面向编排的组合解决方案,(4)从特定需求到模糊个性化的需求,(5)从顾客满意最大化的目标到保证顾客和供方共同利益等。本文详细分析了这些挑战,并提出了一个包含4个维度和13个子维度的分类框架。在该框架下,确定了BIRIS场景中几个典型的供应链问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Classification Framework of Service Composition Issues in BIRIS Scenario
Service composition (SC) is currently one of the most popular research topics in service computing domain. Given a specific functional and non-functional requirements on a specific service, a composition algorithm selects a set of service components from an existing repository and composes them together as a total solution to fulfill the requirement. There have been fruitful achievements, e.g., template-based composition, planning-based composition, automated/semi-automated/manual composition, etc. However, along with BIRIS becomes a dominate form of modern service systems, a series of new appearing features bring great challenges to traditional SC researches, e.g., (1) from one single requirement to temporally sequential requirements, (2) the available services from abundant to limited, (3) from orchestration-oriented composition solution to choreography-oriented ones, (4) from specified requirements to ambiguous and personalized ones, (5) from the objective of maximizing customer satisfaction to ensuring the benefits of customers and providers together, etc. This paper analyzes these challenges elaborately and presents a classification framework which includes 4 dimensions and 13 sub-dimensions. Several typical SC issues in BIRIS scenario are identified under the framework.
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