Achieving autonomic Web service compositions with models at runtime. (October 2017)

• Record Type: Journal Article
• Authors: Alférez, Germán H.; Pelechano, Vicente
• Is Part Of: Computers & electrical engineering. Volume 63(2017)
• Page Start: 332
• Page End: 352
• Publication Date: 2017-10
• Subjects: Web service compositions -- Models at runtime -- Autonomic computing -- Dynamic software product lines -- Dynamic adaptation -- Dynamic evolution; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.08.004
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: Several exceptional situations may arise in the complex, heterogeneous, and changing contexts where Web service operations run. For instance, a Web service operation may have greatly increased its execution time or may have become unavailable. The contribution of this article is to provide a tool-supported framework to guide autonomic adjustments of context-aware service compositions using models at runtime. During execution, when problematic events arise in the context, models are used by an autonomic architecture to guide changes of the service composition. Under the closed-world assumption, the possible context events are fully known at design time. Nevertheless, it is difficult to foresee all the possible situations arising in uncertain contexts where service compositions run. Therefore, the proposed framework also covers the dynamic evolution of service compositions to deal with unexpected events in the open world. An evaluation demonstrates that our framework is efficient during dynamic adjustments.