2011
DOI: 10.1109/tse.2010.92
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Dynamic QoS Management and Optimization in Service-Based Systems

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Cited by 320 publications
(283 citation statements)
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“…the taxonomy of uncertainty in [13]), type of adaptation required (cf. the SBS adaptations from, e.g., [2]- [4], [8], [10]), and type(s) of requirements that these adaptations aim to meet. Within these scenarios, we propose the evaluation and comparison of different self-adaptation solutions based on quality attributes and metrics described in [14] and summarised in Table II. …”
Section: Fig 1 Tas Workflowmentioning
confidence: 99%
See 1 more Smart Citation
“…the taxonomy of uncertainty in [13]), type of adaptation required (cf. the SBS adaptations from, e.g., [2]- [4], [8], [10]), and type(s) of requirements that these adaptations aim to meet. Within these scenarios, we propose the evaluation and comparison of different self-adaptation solutions based on quality attributes and metrics described in [14] and summarised in Table II. …”
Section: Fig 1 Tas Workflowmentioning
confidence: 99%
“…TAS was originally introduced in [2], and has the advantage that it has already been used in the evaluation of several self-adaptation solutions [3], [4], [8], [10], albeit based on ad-hoc implementations, scenarios and evaluation metrics that make the comparison of these solutions and its use to evaluate other solutions very difficult. To address these limitations, we implemented TAS using our new Research Service Platform (ReSeP 1 ), and we propose predefined concrete scenarios for its immediate use in the evaluation of self-adaptation solutions.…”
Section: Introductionmentioning
confidence: 99%
“…Some approaches have brought state-of-the-art probabilistic model-checkers at runtime [7], providing a suitable infrastructure for many applications. Nonetheless these approaches are not general enough for at least two reasons.…”
Section: Extending Pctl With Rewardsmentioning
confidence: 99%
“…Some components may disappear, or become obsolete, and new ones may be discovered dynamically. This may happen, for example, in the case of Web service-based systems [6,7]. This also happens in pervasive computing scenarios where devices that run application components are mobile [27].…”
Section: Introductionmentioning
confidence: 99%
“…In [7], we have developed an extensive framework called QoSMOS which can be used to dynamically manage and optimise the performance of service-based systems. The framework has been demonstrated a typical ubiquitous computing healthcare scenario, called TeleAssistance, where patients are remotely monitored, with data being sent to a medical lab for analysis, and there is a requirement to guarantee a certain QoS level of delivering a specific service, for example to change the dosage of a drug.…”
Section: Adaptivenessmentioning
confidence: 99%