Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics

C. Raibulet; L. Masciadri

doi:10.1109/ComputationWorld.2009.89

Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts. © 2009 IEEE.

Original language	English
Title of host publication	Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Pages	146-152
DOIs	https://doi.org/10.1109/ComputationWorld.2009.89
Publication status	Published - 2009
Externally published	Yes
Event	Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 - , Greece Duration: 15 Nov 2009 → 20 Nov 2009

Conference

Conference	Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Country/Territory	Greece
Period	15/11/09 → 20/11/09

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title = "Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics",

abstract = "In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts. {\textcopyright} 2009 IEEE.",

author = "C. Raibulet and L. Masciadri",

year = "2009",

doi = "10.1109/ComputationWorld.2009.89",

language = "English",

pages = "146--152",

booktitle = "Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009",

note = "Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 ; Conference date: 15-11-2009 Through 20-11-2009",

}

Raibulet, C & Masciadri, L 2009, Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics. in Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009. pp. 146-152, Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009, Greece, 15/11/09. https://doi.org/10.1109/ComputationWorld.2009.89

Towards evaluation mechanisms for runtime adaptivity : From case studies to metrics. / Raibulet, C.; Masciadri, L.

Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009. 2009. p. 146-152.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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N2 - In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts. © 2009 IEEE.

AB - In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts. © 2009 IEEE.

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Y2 - 15 November 2009 through 20 November 2009

ER -

Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics

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