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Business Process Driven Trust-Based Task Scheduling

Business Process Driven Trust-Based Task Scheduling

Jian Shu, Hemant Jain, Changyong Liang
Copyright: © 2019 |Volume: 16 |Issue: 3 |Pages: 28
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781522564003|DOI: 10.4018/IJWSR.2019070101
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MLA

Shu, Jian, et al. "Business Process Driven Trust-Based Task Scheduling." IJWSR vol.16, no.3 2019: pp.1-28. http://doi.org/10.4018/IJWSR.2019070101

APA

Shu, J., Jain, H., & Liang, C. (2019). Business Process Driven Trust-Based Task Scheduling. International Journal of Web Services Research (IJWSR), 16(3), 1-28. http://doi.org/10.4018/IJWSR.2019070101

Chicago

Shu, Jian, Hemant Jain, and Changyong Liang. "Business Process Driven Trust-Based Task Scheduling," International Journal of Web Services Research (IJWSR) 16, no.3: 1-28. http://doi.org/10.4018/IJWSR.2019070101

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Abstract

The demand for agile and flexible business application systems has sparked interest in using cloud computing technology to respond quickly and effectively to a dynamic business environment. The authors classify the appropriate cloud services as a multi-objectives task scheduling problem in a hybrid cloud service system. In this article, the authors propose a business process (BP) driven task scheduling system that supports multiple clouds, including private ones. A trust-based non-dominated sorting genetic algorithm (NSGA2) is developed to solve the multi-objective task scheduling problem. By sorting populations into different hierarchies based on the ordering of Pareto dominance, they identify a Pareto-optimal multi-dimensional frontier that permits managers to reconcile conflicting objectives when scheduling tasks on cloud resources. The authors illustrate the usability and effectiveness of their approach by applying it to a case study conducting simulated experiments.

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