Integrating Semantic Run-Time Models for Adaptive Software Systems

  • Francesco Poggi Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy
  • Davide Rossi Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy
  • Paolo Ciancarini University of Bologna (Italy) and Innopolis University (Russia)
Keywords: Autonomic systems, adaptive software, MAPE-K, Semantic Web, ontology

Abstract

Software-intensive systems work in ever-changing environments requiring expensive technical efforts to manage their evolution. In order to mitigate their risks and costs they should dynamically self-adapt to any modification of their environment. MAPE-K (Monitor,

Analyze, Plan, Execute – Knowledge) is the basic architectural pattern for building software-intensive self-adaptable systems. In this paper we propose an approach in which all the information about a system and its environment is unified by using Semantic Web technologies into a set of semantic run-time models which enhance the Knowledge in MAPE-K. Ontologies are used to manage the interaction and integration of these models with disparate data sources. The resulting knowledge base is then used to drive adaptation activities exploiting well known languages and notations. We discuss how MAPE-K can be exploited in order to take advantage of ontological representations, along with Semantic Web languages and tools, by studying a real-word case study: a legacy system that was not designed to perform automatic adaptation. We discuss merits and limits of our approach based on semantic runtime models both in the context of this specific case study and in a broader scope.

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Author Biographies

Francesco Poggi, Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy

Francesco Poggi is a Research fellow at at the Department of Computer Science and Engineering (DISI) of the University of Bologna. He holds a Ph.D. in Computer Science from the University of Bologna, since 2015. He won the best paper award at DOCENG 2015 for his paper titled “Exploring scholarly papers through citations”. He has been principal investigator for the MIUR-ANVUR of the funded research project “Uniform Representation of Curricular Attributes”. His research interests include: adaptive systems and reflective enterprise software architectures; information visualization; Semantic Web technologies; markup languages for complex documents; science of science.

Davide Rossi, Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy

Davide Rossi is an Assistant Professor at at the Department of Computer Science and Engineering (DISI) of the University of Bologna. His activity mainly focuses on applied aspects related to software engineering (modeling, distributed software architectures, middleware, web engineering) with specific interest toward the concepts of service, composition, interaction and process. He participated in several national/international research projects and is the author of more than fifty published contributions in the form of journal articles, international conference/workshop proceedings papers and book chapters.

Paolo Ciancarini, University of Bologna (Italy) and Innopolis University (Russia)

Paolo Ciancarini is Professor of Computer Science at the University of Bologna since 1992. He got a Phd in Informatics at the University of Pisa in 1988. In Bologna he lectures on Software Engineering and Software Architecture, and is member of the Faculty of the PhD School in Computer Science.

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Published
2019-01-01
Section
Articles