Towards autonomic cloud services engineering via intention workflow model

T. Baker, O.F. Rana, R. Calinescu, R. Tolosana-Calasanz, J.Á. Bañares

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review


In recent years, the rise and rapid adoption of cloud computing has acted as a catalyst for research in related fields: virtualization, distributed and service-oriented computing to name but a few. Whilst cloud computing technology is rapidly maturing, many of the associated long-standing socio-technical challenges including the dependability of cloud-based service composition, services manageability and interoperability remain unsolved. These can be argued to slow down the migration of serious business critical applications to the cloud model. This paper reports on progress towards the development of a method to generate cloud-based service compositions from requirements metadata. The paper presents a formal approach that uses Situation Calculus to translate service requirements into an Intention Workflow Model (IWM). This IWM is then used to generate autonomic cloud service composition. The Petshop benchmark is used to illustrate and evaluate the proposed method.
Original languageEnglish
Title of host publicationEconomics of Grids, Clouds, Systems, and Services
Subtitle of host publication10th International Conference, GECON 2013, Zaragoza, Spain, September 18-20, 2013, Proceedings
Number of pages15
ISBN (Electronic)9783319024141
Publication statusPublished - 30 Aug 2013


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