A Service-Based Fog Execution Environment for the IoT-Aware Business Process Applications

Smart-IoT Business Process Management: A Case Study on Remote Digital Early Cardiac Arrhythmia Detection and Diagnosis

“…Also, the work of Muhić et al [29] presents the technical physical solution of the architectural model to support the business model for the Centre for digital communications with customers by considering web and mobile application for customer's interaction. On the other hand, the work of Cheng et al [30] states an execution environment based on the highly distribution that fog nodes provide and the easy integration that Application Programming Interfaces (API) facilitate. Finally, it is important to emphasize the work of Serhani et.al [31], since it proposes an ECG monitoring architecture, as the case study of the present work.…”

Evaluating IoT service composition mechanisms for the scalability of IoT systems

“…A centralised orchestration [72,136,137,138] has full control over all the services composed, whereas a distributed approach (also known as "decentralised orchestration" [139,140,141,142,143,144,145,146,147,148]) defines sub-workflows for a collaborative exchange of workflow control flow over the network. Although orchestration is not as popular as dataflows, there are some implementations available for this mechanism to support the definition of control-driven IoT workflows [149,150,151].…”

“…An orchestration engine is responsible for executing a workflow process by invoking service operations in a given order. Although traditional engines can be used (e.g., Camunda BPM workflow engine [86,237], Activiti [238,239] and AWS Step Functions [151]), recently we have seen the emergence of orchestration engines particularly designed for IoT systems (e.g., PROtEUS [149] and [150]). 6 Figure 15(a) illustrates a centralised orchestration for the services A, B, C and D, where the coordinator Orch1 defines a "composite service" for the sequential invocation of .…”