research-article

Automated detection of design patterns in declarative deployment models

Authors:

Lukas Harzenetter,

Uwe Breitenbücher,

Ghareeb Falazi,

Adrian WerschingAuthors Info & Claims

UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing

Article No.: 4, Pages 1 - 10

https://doi.org/10.1145/3468737.3494085

Published: 17 December 2021 Publication History

Abstract

In recent years, many different deployment automation technologies have been developed to automatically deploy cloud applications. Most of these technologies employ declarative deployment models to describe the deployment of a cloud application by modeling its components, their configurations as well as the relations between them. However, while modeling the deployment of cloud applications declaratively is intuitive, declarative deployment models quickly become complex as they often contain detailed information about the application's components and their configurations. As a result, immense technical expertise is typically required to understand the semantics of a declarative deployment model, i. e., what gets deployed and how the components behave. In this paper, we present an approach that automatically detects design patterns in declarative deployment models. This eases understanding the semantics of deployment models as only the abstract and high-level semantics of the detected patterns must be known instead of technical details about components, relations, and configurations. We demonstrate an open-source implementation based on the Topology and Orchestration Specification for Cloud Applications (TOSCA) and the graphical open-source modeling tool Winery. In addition, we present a detailed case study showing how our approach can be applied in practice using the presented prototype.

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Cited By

Yussupov VBreitenbücher UBrogi AHarzenetter LLeymann FSoldani J(2022)Serverless or Serverful? A Pattern-Based Approach for Exploring Hosting AlternativesService-Oriented Computing10.1007/978-3-031-18304-1_3(45-67)Online publication date: 1-Oct-2022
https://doi.org/10.1007/978-3-031-18304-1_3

Index Terms

Automated detection of design patterns in declarative deployment models
1. Software and its engineering
  1. Software creation and management
    1. Software development process management
      1. Software development methods
        Design patterns
  2. Software organization and properties
    1. Software system structures

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cover image ACM Conferences

UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing

December 2021

214 pages

ISBN:9781450385640

DOI:10.1145/3468737

Conference Chairs:
Ivona Brandic
Vienna University of Technology, Austria
,
Rizos Sakellariou
University of Manchester, UK
,
Josef Spillner
Zurich University of Applied Sciences, Switzerland

Copyright © 2021 ACM.

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SIGARCH: ACM Special Interest Group on Computer Architecture

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CIMPA: International Center for Pure and Applied Mathematics

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Association for Computing Machinery

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Publication History

Published: 17 December 2021

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German Research Foundation (DFG) project SustainLife
Federal Ministry for Economic Affairs and Energy (BMWi) project PlanQK
German Research Foundation (DFG) project IAC²

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UCC '21

Sponsor:

SIGARCH

UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing

December 6 - 9, 2021

Leicester, United Kingdom

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UCC '21 Paper Acceptance Rate 21 of 62 submissions, 34%;

Overall Acceptance Rate 38 of 125 submissions, 30%

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Cited By

Yussupov VBreitenbücher UBrogi AHarzenetter LLeymann FSoldani J(2022)Serverless or Serverful? A Pattern-Based Approach for Exploring Hosting AlternativesService-Oriented Computing10.1007/978-3-031-18304-1_3(45-67)Online publication date: 1-Oct-2022
https://doi.org/10.1007/978-3-031-18304-1_3

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