Towards Resource-aware Business Process development in the Cloud

Abstract

Abstract. In recent years, cloud environments are becoming more and more interesting and useful for the execution and the deployment of business processes. Indeed, it enables organizations to reduce their costs and optimize their processes. Many researches have been realized for providing support and enhancement to the resource perspective in business processes. Nevertheless, they have basically focused on human resources and have neglected other types of resources. This paper fills this gap by proposing an extension to the BPMN metamodel in order to optimally manage resources deployed in the cloud through resource constraints verification. The purpose of our approach is to enable Business Process development to benefit from economies of scale, faster provisioning times, decreased runtime costs, and reduced energy consumption. To do so, we aim at enriching Business Process Models with a semantic knowledge base about the consumed cloud resources that can be used to optimize resource management.

Business process specification, verification, and deployment in a mono-cloud, multi-edge context

“…The time required to the transfer of the data data i from t i to t k is denoted by T ransf er(data i ). The domain of the maximum duration threshold and the start and the end time are presented in Constraints (12) and 13, respectively.…”

“…But, resources were not considered. Hachicha et al [12] extend of the BPMN meta-model to optimally manage cloud resources. They formalize the resources consumed using a shared knowledge base.…”

“…We resort to cloud-edge collaboration by verifying at both design-time and runtime where data should be placed (cloud, edge, or either) and where tasks should run as well (cloud, edge, or either). Satisfying temporal constraints in the context of cloud is thoroughly discussed in the literature [4,12,13,19]. However, this remains unexplored in the context of cloud/edge, which constitutes one of our main contributions in this paper.…”

IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems

“…The majority of the existing works in the literature [3][4][5][6][7][8] have been focused on modeling the IoT resources such as sensors, actuators, and radio frequency identification (RFID). Others [9][10][11][12] have proposed approaches serving to identify, model and specify security requirements at the BP model layer. However, some works 7,10,13 have dealt with the design of a BP in a hybrid cloud environment.…”

“…Others [9][10][11][12] have proposed approaches serving to identify, model and specify security requirements at the BP model layer. However, some works 7,10,13 have dealt with the design of a BP in a hybrid cloud environment. Whilst our proposal considers all above-mentioned features in addition to handling with the heterogeneity of IoT and non-IoT resources as well as with the security requirements integration when modeling an outsourced BP into a fog/cloud federation environments.…”