2018
DOI: 10.1007/978-3-030-03424-5_14
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Measuring and Evaluating the Performance of Self-Organization Mechanisms Within Collective Adaptive Systems

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Cited by 7 publications
(8 citation statements)
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“…We used the results of previous studies ( [8,16]) to create a metric for measuring the performance of the self-adaptive system under evaluation and comparing it with the static system architecture. The performance of software systems denotes its capabilities in its execution [8], in which two important measures include the solution quality and the time taken to achieve the solution [16]. Hence, the total performance in our designed system composed of time performance and solution quality performance [8], as follows: p(sys) = wt.tp(sys) + wq.qp(sys)…”
Section: Methodsmentioning
confidence: 99%
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“…We used the results of previous studies ( [8,16]) to create a metric for measuring the performance of the self-adaptive system under evaluation and comparing it with the static system architecture. The performance of software systems denotes its capabilities in its execution [8], in which two important measures include the solution quality and the time taken to achieve the solution [16]. Hence, the total performance in our designed system composed of time performance and solution quality performance [8], as follows: p(sys) = wt.tp(sys) + wq.qp(sys)…”
Section: Methodsmentioning
confidence: 99%
“…Another study [1] proposed an architecture-based self-adaptation service for cloud-native applications based on the Rainbow selfadaptation framework with support for Docker containers and Kubernetes. Current approaches mainly rely on the quantitative verification of system properties, including techniques to produce formal guarantees about the quantitative aspects of systems, such as performance [8].…”
Section: Related Workmentioning
confidence: 99%
“…In particular, there is a lack of approaches to test selforganizing MAS system [20] [21] [4]. Gardelli et al [20] provide a theoretical system-oriented approach that aims at anticipating design decisions at the early MAS design stages.…”
Section: Related Workmentioning
confidence: 99%
“…Bernon et al [21] provide a simulation-driven approach, which allows the developer to simulate different versions of the application while designing the self-organizing agents. Eberhardinger et al [4] present an approach for measuring the performance of self-organizing mechanisms at design time in order to select the best-fitting mechanism, and illustrate the proposed approach in an existing agent-based system. However, these approaches do not support the design and execution of functional tests, and fault diagnosis.…”
Section: Related Workmentioning
confidence: 99%
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