research-article

Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling

Authors:

Marina Mongiello,

Tommaso Di Noia,

Francesco Nocera,

Eugenio Di SciascioAuthors Info & Claims

SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing

Pages 1323 - 1328

https://doi.org/10.1145/2851613.2851767

Published: 04 April 2016 Publication History

Abstract

We present an approach to reasoning on complex adaptive software architectures able to dynamically design and change features of the model according to changed behavioral properties or context variables and parameters. The approach consists of a metamodel composed by a Knowledge Graph(KG) and case-based reasoning to find a path connecting state, context and action on the KG. The metamodel allows to derive a runtime architectural model of adaptive application from high level goals and operational requirements, and enable runtime composition of the layout of a decentralized and distributed complex application. To validate the metamodel we also propose an instantiation in two real scenarios in order to exploit both requirements and architectural model.

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Cited By

Filippone GAutili MTivoli M(2021)Synthesis of context‐aware business‐to‐business processes for location‐based services through choreographiesJournal of Software: Evolution and Process10.1002/smr.241634:10Online publication date: 13-Dec-2021
https://doi.org/10.1002/smr.2416
Nocera FMongiello MParchitelli ADi Sciascio EPatrono L(2019)A model for Reflective Middleware based on fuzzy rule for context-awareness injection in ubiquitous computing environments2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech.2019.8783119(1-7)Online publication date: Jun-2019
https://doi.org/10.23919/SpliTech.2019.8783119
Nocera FParchitelli A(2018)An Adaptive Formal Metamodel for Semantic Complex Event Processing-Driven Social Internet of Things NetworkCurrent Trends in Web Engineering10.1007/978-3-319-74433-9_1(7-18)Online publication date: 22-Feb-2018
https://doi.org/10.1007/978-3-319-74433-9_1

Index Terms

Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling

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cover image ACM Conferences

SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing

April 2016

2360 pages

ISBN:9781450337397

DOI:10.1145/2851613

Conference Chair:
Sascha Ossowski
University Rey Juan Carlos, Spain

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 April 2016

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SAC 2016: Symposium on Applied Computing

April 4 - 8, 2016

Pisa, Italy

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SAC '16 Paper Acceptance Rate 252 of 1,047 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Filippone GAutili MTivoli M(2021)Synthesis of context‐aware business‐to‐business processes for location‐based services through choreographiesJournal of Software: Evolution and Process10.1002/smr.241634:10Online publication date: 13-Dec-2021
https://doi.org/10.1002/smr.2416
Nocera FMongiello MParchitelli ADi Sciascio EPatrono L(2019)A model for Reflective Middleware based on fuzzy rule for context-awareness injection in ubiquitous computing environments2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech.2019.8783119(1-7)Online publication date: Jun-2019
https://doi.org/10.23919/SpliTech.2019.8783119
Nocera FParchitelli A(2018)An Adaptive Formal Metamodel for Semantic Complex Event Processing-Driven Social Internet of Things NetworkCurrent Trends in Web Engineering10.1007/978-3-319-74433-9_1(7-18)Online publication date: 22-Feb-2018
https://doi.org/10.1007/978-3-319-74433-9_1

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