ExSIDE: Component Based Object Oriented Expert System’s Integrated Development Environment

Autor: Mohamad Hanif Md Saad, Rabiah Adawiyah Shahad, Kong Win, Aini Hussain

Publikováno v: JOIV: International Journal on Informatics Visualization, Vol 1, Iss 3, Pp 88-95 (2017)

This paper describes the design and development of a component-based object oriented Expert System's Integrated Development Environment (ExSIDE). It is integrated with (i) a user-friendly manual and automated knowledge acquisition and management tool

Externí odkaz: https://doaj.org/article/d17bcd88476a41c4bc6799e50c2eab6c

What can millions of laboratory test results tell us about the temporal aspect of data quality? Study of data spanning 17 years in a clinical data warehouse

Autor: Looten, Vincent, Kong Win Chang, Liliane, Neuraz, Antoine, Landau-Loriot, Marie-Anne, Vedie, Benoit, Paul, Jean-Louis, Mauge, Laëtitia, Rivet, Nadia, Bonifati, Angela, Chatellier, Gilles, Burgun, Anita, Rance, Bastien

Publikováno v: In Computer Methods and Programs in Biomedicine November 2019 181

Budget-aware Static Scheduling of Stochastic Workflows with DIET

Autor: Caniou, Yves, Caron, Eddy, Kong Win Chang, Aurélie, Robert, Yves

Publikováno v: ADVCOMP 2021-Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
ADVCOMP 2021-Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences, Oct 2021, Barcelona, Spain. pp.1-8
ADVCOMP 2021-15th International Conference on Advanced Engineering Computing and Applications in Sciences
ADVCOMP 2021-15th International Conference on Advanced Engineering Computing and Applications in Sciences, Oct 2021, Barcelona, Spain. pp.1-8

International audience; Previous work has introduced a Cloud platform model and budget-aware static algorithms to schedule stochastic workflows on such platforms. In this paper, we compare the performance of these algorithms obtained via simulation a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8913f27110a23eecc73a8dd396245cd0
https://hal.inria.fr/hal-03332601/document

Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on IaaS Cloud platforms

Autor: Caniou, Yves, Caron, Eddy, Kong Win Chang, Aurélie, Robert, Yves

Publikováno v: Concurrency and Computation: Practice and Experience
Concurrency and Computation: Practice and Experience, Wiley, 2021, 33 (17)
Concurrency and Computation: Practice and Experience, 2021, 33 (17), pp.1-25
Concurrency and Computation: Practice and Experience, Wiley, 2021, 33 (17), pp.1-25
Concurrency and Computation: Practice and Experience, Wiley, In press
Concurrency and Computation: Practice and Experience, In press

International audience; This paper introduces several budget-aware algorithms to deploy scientific workflows on IaaS Cloud platforms, where users can request Virtual Machines (VMs) of different types, each with specific cost and computing resources.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::801936753422b34795415a0f77ea53c2
https://hal.inria.fr/hal-03508925/document

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