Automatic Generation of Service Availability Models

Milanović, Nikola; Milic, Bratislav

doi:10.1109/tsc.2010.11

Cited by 23 publications

(11 citation statements)

References 26 publications

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“…A method to assess service availability that automatically generates availability models, based on the service/process description and technical infrastructure is proposed by Milanovic et al (2011). The importance of availability in service management is also described by Radhakrishnan et al (2008), as they propose taking a holistic view of high-availability service management (availability of critical IT and IT enabled business services).…”

Section: Intrinsic Measures Of It Service Qualitymentioning

confidence: 99%

Extending the IT service quality measurement framework through a systematic literature review

Lepmets¹,

Cater-Steel

Gacenga

et al. 2012

J Serv Sci Res

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Section: Intrinsic Measures Of It Service Qualitymentioning

confidence: 99%

Extending the IT service quality measurement framework through a systematic literature review

Lepmets¹,

Cater-Steel

Gacenga

et al. 2012

J Serv Sci Res

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“…In the following, we distinguish between qualitative and quantitative prediction approaches. Qualitative approaches focus on the comparison of alternatives using language-like results, e.g., "better than" [45]. Often, subjective methods such as expert interviews are utilized to evaluate alternatives.…”

Section: Prediction Models In Decision Makingmentioning

confidence: 99%

Capacity Management as a Service for Enterprise Standard Software

Müller

Bosse

Turowski

2018

J. Complex Syst. Inform. Model. Q.

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Abstract. Capacity management approaches optimize component utilization from a strong technical perspective. In fact, the quality of involved services is considered implicitly by linking it to resource capacity values. This practice hinders to evaluate design alternatives with respect to given service levels that are expressed in user-centric metrics such as the mean response time for a business transaction. We argue that utilized historical workload traces often contain a variety of performance-related information that allows for the integration of performance prediction techniques through machine learning. Since enterprise applications excessively make use of standard software that is shipped by large software vendors to a wide range of customers, standardized prediction models can be trained and provisioned as part of a capacity management service which we propose in this article. Therefore, we integrate knowledge discovery activities into well-known capacity planning steps, which we adapt to the special characteristics of enterprise applications. Using a realworld example, we demonstrate how prediction models that were trained on a large scale of monitoring data enable cost-efficient measurement-based prediction techniques to be used in early design and redesign phases of planned or running applications. Finally, based on the trained model, we demonstrate how to simulate and analyze future workload scenarios. Using a Pareto approach, we were able to identify cost-effective design alternatives for an enterprise application whose capacity is being managed.

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“…The automatic generation of steady-state service availability models from service descriptions and infrastructure information is presented in [15]. A related approach with state-of-the-art tool support can be found in [9], which has been extended to support instantaneous availability evaluation in [19].…”

Section: Related Workmentioning

confidence: 99%

Modeling Responsiveness of Decentralized Service Discovery in Wireless Mesh Networks

Dittrich

Lichtblau

Rezende

et al. 2014

Lecture Notes in Computer Science

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Abstract. In service networks, discovery plays a crucial role as a layer where providers can be published and enumerated. This work focuses on the responsiveness of the discovery layer, the probability to operate successfully within a deadline, even in the presence of faults. It proposes a hierarchy of stochastic models for decentralized discovery and uses it to describe the discovery of a single service using three popular protocols. A methodology to use the model hierarchy in wireless mesh networks is introduced. Given a pair requester and provider, a discovery protocol and a deadline, it generates specific model instances and calculates responsiveness. Furthermore, this paper introduces a new metric, the expected responsiveness distance der, to estimate the maximum distance from a provider where requesters can still discover it with a required responsiveness. Using monitoring data from the DES testbed at Freie Universität Berlin, it is shown how responsiveness and der of the protocols change depending on the position of nodes and the link qualities in the network.

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Automatic Generation of Service Availability Models

Cited by 23 publications

References 26 publications

Extending the IT service quality measurement framework through a systematic literature review

Extending the IT service quality measurement framework through a systematic literature review

Capacity Management as a Service for Enterprise Standard Software

Modeling Responsiveness of Decentralized Service Discovery in Wireless Mesh Networks

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