Scalable and Fault-Tolerant Cloud Computations: Modelling and Implementation

Spichkova, Maria; Thomas, Ian E.; Schmidt, Heinz; Yusuf, Iman I.; Drumm, Daniel W.; Androulakis, G. S.; Opletal, George; Russo, Salvy P.

doi:10.1109/icpads.2015.57

Cited by 11 publications

(6 citation statements)

References 43 publications

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“…As the functionalities provided within this layer are mostly focused on researchers, it makes sense to apply the technologies that are already used in the corresponding research community. Thus, to support the analysis and visualisation of the large amount of collected data, we are going to apply a research-oriented cloud computing platform Chiminey that provides user-friendly interface for the computation/ analysis set up, as well as visualisation of the calculation results as 2D or 3D graphs, see Yusuf et al (2015) and Spichkova et al (2015). Monitoring and alerts has to be provided to notify users about updates in the data they are interested (through a previous subscription), for example, new treatment data or changes in experiments.…”

Section: Proposed Architecturementioning

confidence: 99%

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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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Section: Proposed Architecturementioning

confidence: 99%

“…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

Self Cite

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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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“…(Aversa et al, 2011), as it allows a straightforward analysis of the worst case execution time (WCET) of the composed processes. The early results on the platform open-source implementation were presented in Spichkova et al, 2015a). The current version of the platform provides a set of APIs to create new and customise existing SCs.…”

Section: Fault-tolerance Properties Of Scexecutionmentioning

confidence: 99%

“…The early results on the platform open-source implementation were presented in (Yusuf et al, 2015;Spichkova et al, 2015a). The current version of the platform provides a set of APIs to create new and customise existing SCs.…”

Section: Fault-tolerance Properties Of Scexecutionmentioning

confidence: 99%

Managing Usability and Reliability Aspects in Cloud Computing

Spichkova

Schmidt

Thomas

et al. 2016

Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering

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Abstract:Cloud computing provides a great opportunity for scientists, as it enables large-scale experiments that cannot are too long to run on local desktop machines. Cloud-based computations can be highly parallel, long running and data-intensive, which is desirable for many kinds of scientific experiments. However, to unlock this power, we need a user-friendly interface and an easy-to-use methodology for conducting these experiments. For this reason, we introduce here a formal model of a cloud-based platform and the corresponding opensource implementation. The proposed solution allows to conduct experiments without having a deep technical understanding of cloud-computing, HPC, fault tolerance, or data management in order to leverage the benefits of cloud computing. In the current version, we have focused on biophysics and structural chemistry experiments, based on the analysis of big data from synchrotrons and atomic force microscopy. The domain experts noted the time savings for computing and data management, as well as user-friendly interface. a a Preprint.

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Scalable and Fault-Tolerant Cloud Computations: Modelling and Implementation

Cited by 11 publications

References 43 publications

Towards Automated Management and Analysis of Heterogeneous Data within Cannabinoids Domain

Towards Automated Management and Analysis of Heterogeneous Data within Cannabinoids Domain

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

Managing Usability and Reliability Aspects in Cloud Computing

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