Article

Designing multi-layers self-adaptive complex applications

Authors:

Davide Lorenzoli,

Salvatore Venticinque,

Rosa Anna MicilloAuthors Info & Claims

SOQUA '07: Fourth international workshop on Software quality assurance: in conjunction with the 6th ESEC/FSE joint meeting

Pages 70 - 77

https://doi.org/10.1145/1295074.1295088

Published: 03 September 2007 Publication History

Abstract

The impossibility of statically determining the behavior of complex systems that interact at runtime with heterogeneous devices and remote entities, may lead to unexpected system failures and performance degradation. Recently, self-adaptive applications have been recognized as viable solutions for dealing with systems where size and complexity increase beyond the ability of humans. However, self-adaptive solutions have been always studied in isolation, only involving single layers of the system (e.g. operative system, middleware, firmware, hardware). In this paper we discuss our novel idea of multi-layers deep adaptability of complex systems. We present an integrated approach for designing and coordinating applications with three-layers of self-adaptation. The solution proposed is based on specialized sense-plan-act control loops that interact each others to monitor both specific parts and also the global behavior of the system. These control loops sense unexpected behaviors that can compromise the system, then diagnose the system layer that needs an adaptation action, and finally act the proper adaptation strategy to overcome the revealed problems without user intervention. We validate the approach with a SOA-based application, the Virtual Tour Guide, designed with three-layers self-adaptive abilities in order to overcome functional/non-functional problems that can derive from the integration of heterogeneous and remote third-party services.

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Cited By

Arslan A(2025)Intentions and PremisesAI Driven Tools for Sustainable Public Administration10.4018/979-8-3693-8372-8.ch012(321-360)Online publication date: 24-Jan-2025
https://doi.org/10.4018/979-8-3693-8372-8.ch012
Raghunandan HBedekar S(2011)Multiple linear regression based parameter influencer model of a Self-healing network2011 Third International Workshop on Security and Communication Networks (IWSCN)10.1109/IWSCN.2011.6827716(45-51)Online publication date: May-2011
https://doi.org/10.1109/IWSCN.2011.6827716
Raghunandan HBedekar S(2011)A parameter-influencer based model of a Self-healing network2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)10.1109/COMSNETS.2011.5716506(1-8)Online publication date: Jan-2011
https://doi.org/10.1109/COMSNETS.2011.5716506
Show More Cited By

Index Terms

Designing multi-layers self-adaptive complex applications
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management

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Published In

cover image ACM Conferences

SOQUA '07: Fourth international workshop on Software quality assurance: in conjunction with the 6th ESEC/FSE joint meeting

September 2007

120 pages

ISBN:9781595937247

DOI:10.1145/1295074

General Chair:
Mauro Pezzè
University of Lugano, Switzerland, and University of Milano-Bicocca, Italy

Copyright © 2007 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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ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
CEPIS: The Council of European Professional Informatics Societies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 September 2007

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ESEC/FSE07

Sponsor:

ACM
SIGSOFT
CEPIS

ESEC/FSE07: Joint 11th European Software Engineering Conference 2007

September 3 - 4, 2007

Dubrovnik, Croatia

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Cited By

Arslan A(2025)Intentions and PremisesAI Driven Tools for Sustainable Public Administration10.4018/979-8-3693-8372-8.ch012(321-360)Online publication date: 24-Jan-2025
https://doi.org/10.4018/979-8-3693-8372-8.ch012
Raghunandan HBedekar S(2011)Multiple linear regression based parameter influencer model of a Self-healing network2011 Third International Workshop on Security and Communication Networks (IWSCN)10.1109/IWSCN.2011.6827716(45-51)Online publication date: May-2011
https://doi.org/10.1109/IWSCN.2011.6827716
Raghunandan HBedekar S(2011)A parameter-influencer based model of a Self-healing network2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)10.1109/COMSNETS.2011.5716506(1-8)Online publication date: Jan-2011
https://doi.org/10.1109/COMSNETS.2011.5716506
Nakagawa HOhsuga AHoniden S(2010)Cooperative Behaviors Description for Self-* Systems ImplementationAdvances in Practical Applications of Agents and Multiagent Systems10.1007/978-3-642-12384-9_9(69-74)Online publication date: 2010
https://doi.org/10.1007/978-3-642-12384-9_9

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