ABSTRACT
With the appearance of the COVID-19 pandemic, the practice of e-learning in the cloud makes it possible to: avoid the problem of overloading the institutions infrastructure resources, manage a large number of learners and improve collaboration and synchronous learning. In this paper, we propose a new e-leaning process management approach in cloud named CLP-in-Cloud (for Collaborative Learning Process in Cloud). CLP-in-Cloud is composed of two steps: i) design general, configurable and multi-tenant e-Learning Process as a Service (LPaaS) that meets different needs of institutions. ii) to fulfill the user needs, developpe a functional and non-functional awareness LPaaS discovery module. For functional needs, we adopt the algorithm A* and for non-functional needs we adopt a linear programming algorithm. Our developed system allows learners to discover and search their preferred configurable learning process in a multi-tenancy Cloud architecture. In order to help to discover interesting process, we come up with a recommendation module. Experimentations proved that our system is effective in reducing the execution time and in finding appropriate results for the user request.
ABSTRACT
In spite of the importance of security in process models, the domain of BPM and BPMS which stand for "Business Process Management" and "Business Process Management System", provide only little support for securing sensitive data. Nevertheless, privacy and confidentiality in BPMS solutions is still missing. This is particularly required for e-health applications. In this paper, we address the problem of privacy requirements and discuss data encryption approaches for personal information of patients and doctors in the database of a BPMS solutions in Intelligent assistance system for a COVID-19 crisis unit (SMART2C).