Towards Modelling and Implementation of Reliability and Usability Features for Research-Oriented Cloud Computing Platforms

Spichkova, Maria; Schmidt, Heinz; Yusuf, Iman I.; Thomas, Ian E.; Androulakis, G. S.; Meyer, Grischa R.

doi:10.1007/978-3-319-56390-9_8

Cited by 8 publications

(4 citation statements)

References 32 publications

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“…The model was evaluated using NN after applying parallel index rule mining to analyze the influential aspects connected to the reliability index. A framework and model focused on research were developed by Spichkova et al in 2016 [32] employing the cloud computing platform's usability and reliability capabilities. Researchers who are exploring huge data and enormous computations can use the model.…”

Section: Literature Surveymentioning

confidence: 99%

Hybrid Software Reliability Model for Big Fault Data and Selection of Best Optimizer Using an Estimation Accuracy Function

Sharma

Kumar

Kaswan

2023

IJRITCC

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Software reliability analysis has come to the forefront of academia as software applications have grown in size and complexity. Traditionally, methods have focused on minimizing coding errors to guarantee analytic tractability. This causes the estimations to be overly optimistic when using these models. However, it is important to take into account non-software factors, such as human error and hardware failure, in addition to software faults to get reliable estimations. In this research, we examine how big data systems' peculiarities and the need for specialized hardware led to the creation of a hybrid model. We used statistical and soft computing approaches to determine values for the model's parameters, and we explored five criteria values in an effort to identify the most useful method of parameter evaluation for big data systems. For this purpose, we conduct a case study analysis of software failure data from four actual projects. In order to do a comparison, we used the precision of the estimation function for the results. Particle swarm optimization was shown to be the most effective optimization method for the hybrid model constructed with the use of large-scale fault data.

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Section: Literature Surveymentioning

confidence: 99%

Hybrid Software Reliability Model for Big Fault Data and Selection of Best Optimizer Using an Estimation Accuracy Function

Sharma

Kumar

Kaswan

2023

IJRITCC

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“…A model of a cloud-based platform and its opensource implementation was presented and refined in Yusuf et al (2015), Yusuf et al (2017), Spichkova et al (2016b), Spichkova et al (2015) and Spichkova et al (2016a). This model allows researchers to conduct experiments requiring complex computations over big data.…”

Section: Background and Related Workmentioning

confidence: 99%

Towards Automated Management and Analysis of Heterogeneous Data within Cannabinoids Domain

Koga¹,

Spichkova

Mantri

2019

Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering

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Cannabinoid research requires the cooperation of experts from various field biochemistry and chemistry to psychological and social sciences. The data that have to be managed and analysed are highly heterogeneous, especially because they are provided by a very diverse range of sources. A number of approaches focused on data collection and the corresponding analysis, restricting the scope to a sub-domain. Our goal is to elaborate a solution that would allow for automated management and analysis of heterogeneous data within the complete cannabinoids domain. The corresponding integration of diverse data sources would increase the quality and preciseness of the analysis. In this paper, we introduce the core ideas of the proposed framework as well as present the implemented prototype of a cannabinoids data platform. a a Preprint.

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“…Spichkova et al [79] illustrated using formal models for intellingent speed validation and adaptation. Formal specification of Chiminey platform [93,94], which provides a reliable computing and data management service, as well as its refinements and extensions were presented in [80,72,73].…”

Section: Case Studiesmentioning

confidence: 99%

(Auto)Focus approaches and their applications: A systematic review

Spichkova

2017

Preprint

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Focus, a framework for formal specification and development of interactive systems, was introduced approx. 25 years ago. Since then this approach was broadly used in academic and industrial studies, as well as provided a basis for a number of another frameworks focusing on particular domains, and for the AF3 modelling tool. In this paper we provide a literature review of the corresponding approaches, academic case studies and industrial applications of these methods.

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Towards Modelling and Implementation of Reliability and Usability Features for Research-Oriented Cloud Computing Platforms

Cited by 8 publications

References 32 publications

Hybrid Software Reliability Model for Big Fault Data and Selection of Best Optimizer Using an Estimation Accuracy Function

Hybrid Software Reliability Model for Big Fault Data and Selection of Best Optimizer Using an Estimation Accuracy Function

Towards Automated Management and Analysis of Heterogeneous Data within Cannabinoids Domain

(Auto)Focus approaches and their applications: A systematic review

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