Definition of Metric Dependencies for Monitoring the Impact of Quality of Services on Quality of Processes

Mayerl, Christian; Hüner, Kai; Gaspar, Jielyn; Momm, Christof; Abeck, Sebastian

doi:10.1109/bdim.2007.375006

Cited by 14 publications

(10 citation statements)

References 13 publications

(18 reference statements)

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“…In [42] Mayerl et al discuss how to derive metric dependency definitions from functional dependencies by applying dependency patterns. To this end, they propose a model that distinguishes between a functional part, where they define dependencies between application, service and process layers (based on concepts of BPEL and WSDL), and another part for metric dependencies, based on concepts of the CIM metrics model [43] and the QoS UML profile described in [44].…”

Section: Related Workmentioning

confidence: 99%

On the definition and design-time analysis of process performance indicators

del–Río–Ortega

Resinas

Cabanillas

et al. 2013

Information Systems

105

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Cite this article as: Adela del-Río-Ortega, Manuel Resinas, Cristina Cabanillas and Antonio Ruiz-Cortés, On the definition and design-time analysis of process performance indicators, Information Systems, http://dx.doi.org/10.1016/j.is. 2012.11.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractA key aspect in any process-oriented organisation is the evaluation of process performance for the achievement of its strategic and operational goals. Process Performance Indicators (PPIs) are a key asset to carry out this evaluation, and, therefore, having an appropriate definition of these PPIs is crucial. After a careful review of the literature related and a study of the current picture in different real organisations, we conclude that there not exists any proposal that allows to define PPIs in a way that is unambiguous and highly expressive, understandable by technical and non-technical users and traceable with the business process (BP). In addition, like other activities carried out during the BP lifecycle, the management of PPIs is considered timeconsuming and error-prone. Therefore, providing an automated support for them is very appealing from a practical point of view.In this paper, we propose the PPINOT metamodel, which allows such an advanced definition of PPIs and is independent of the language used to model the business process. Furthermore, we provide an automatic semantic mapping from the metamodel to Description Logics (DLs) that allows the implementation of design-time analysis operations in such a way that DL $ This work has been partially supported by the European Commission (FEDER), Spanish Government under the CICYT projects SETI (TIN2009-07366) and TAPAS (TIN2012-32273); and projects THEOS (TIC-5906) and ISABEL (P07-TIC-2533) funded by the Andalusian local Government.* Corresponding author. Tel +34954557001 Email addresses: adeladelrio@us.es (Adela del-Río-Ortega), resinas@us.es (Manuel Resinas), cristinacabanillas@us.es (Cristina Cabanillas), aruiz@us.es (Antonio Ruiz-Cortés) Preprint submitted to Information SystemsNovember 22, 2012 reasoners' facilities can be leveraged. These operations provide information that can assist process analysts in the definition and instrumentation of PPIs. Finally, to validate the usefulness of our proposal, we have used the PPINOT metamodel at the core of a software tool called the PPINOT tool suite and we have applied it in several real scenarios.

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Section: Related Workmentioning

confidence: 99%

On the definition and design-time analysis of process performance indicators

del–Río–Ortega

Resinas

Cabanillas

et al. 2013

Information Systems

105

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“…Luckham et al introduced the notion of causality to study Software Architectures [15]. Mayerl et al established metrics dependencies, with a specific focus on performance properties [16]. Their approach is very similar to ours.…”

Section: Related Workmentioning

confidence: 74%

“…4), the evolution is composed of ten adding operations (lines 1, 3-13) and one deletion operation (line 2). Operations related to the order (lines [15][16][17][18][19] are not considered as we are not focused on the order of the execution. Considering the rules in Tab.…”

Section: Application Of the Evolution Analysismentioning

confidence: 99%

A causal model to predict the effect of business process evolution on quality of service

Feugas

Mosser

Duchien

2013

Proceedings of the 9th International ACM Sigsoft Conference on Quality of Software Architectures

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“…Motivation. When the HAC reinitialises a failed resource, it uses a local timeout value for the reinitialisation to complete 23,24,25 . If the reinitialisation does not complete successfully within the time limit imposed by this timeout, the HAC retries the reinitialisation procedure (up to several times).…”

Section: Failure Repetitionmentioning

confidence: 99%

Predicting locally manageable resource failures of high availability clusters

Somasekaram

Călinescu

2022

Softw Pract Exp

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Critical services from domains as diverse as finance, manufacturing and healthcare are often delivered by complex enterprise applications (EAs). High-availability clusters (HACs) are software-managed IT infrastructures that enable these EAs to operate with minimum downtime. This paper presents a novel Bayesian decision network model to improve the failure detection capabilities of the HACs components using a comprehensive set of characteristics for the analysed component. The model then combines these characteristics to predict whether the failure of this component can be managed locally at the failed component level without propagating the failure to upper-level components and causing a complete system failure. By improving the detection capabilities and predicting locally manageable failures, the model improves the decision-making process of HACs, and has the potential to reduce the downtime and improve availability for the applications protected by HACs. The model uses the capabilities of the Bayesian decision networks, which combines Bayesian networks with the utility theory, to assign weights to different characteristics and consolidate the related variables to output the result. The model evaluation in a realistic testbed environment with three servers, an established HAC and a well-known EA shows that the model can improve the area under the Receiver Operating Characteristic (ROC) curve for prediction of locally manageable failures by up to 9.05% compared to the baseline HAC results.

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Definition of Metric Dependencies for Monitoring the Impact of Quality of Services on Quality of Processes

Cited by 14 publications

References 13 publications

On the definition and design-time analysis of process performance indicators

On the definition and design-time analysis of process performance indicators

A causal model to predict the effect of business process evolution on quality of service

Predicting locally manageable resource failures of high availability clusters

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