A lightweight secure adaptive approach for internet-of-medical-things healthcare applications in edge-cloud-based networks

Mobile-cloud-based healthcare applications are increasingly growing in practice. For instance, healthcare, transport, and shopping applications are designed on the basis of the mobile cloud. For executing mobile-cloud applications, offloading and scheduling are fundamental mechanisms. However, mobile healthcare workflow applications with these methods are widely ignored, demanding applications in various aspects for healthcare monitoring, live healthcare service, and biomedical firms. However, these offloading and scheduling schemes do not consider the workflow applications' execution in their models. This paper develops a lightweight secure efficient offloading scheduling (LSEOS) metaheuristic model. LSEOS consists of light weight, and secure offloading and scheduling methods whose execution offloading delay is less than that of existing methods. The objective of LSEOS is to run workflow applications on other nodes and minimize the delay and security risk in the system. The metaheuristic LSEOS consists of the following components: adaptive deadlines, sorting, and scheduling with neighborhood search schemes. Compared to current strategies for delay and security validation in a model, computational results revealed that the LSEOS outperformed all available offloading and scheduling methods for process applications by 10% security ratio and by 29% regarding delays

Evolution of 3C Cyber-Physical Systems Architecture for Industry 4.0

International audienceCyber-Physical System (CPS) is considered as the emerging component for Industry 4.0, and the state-of-the art and standard CPS architecture playing the major role to understand the nature of the industrial landscape. The key problem with traditional CPS architectures is that they are not up-to-mark and convincing to fulfill the needs of smart industries and merely considering vertical and horizontal integration with three components (i.e., human, cyber and physical components) integration, but lacking to adopt, discuss and highlight the key interfacing elements which are very vital for Industry 4.0. So, to remedy these problems and bridging the gap this paper proposes to enhance the 3C CPS architecture based on the traditional 3C one for industry4.0 by adopting the main interfacing elements such as connectors, protocols, and sub elements, for example, human, cyber and physical parts. Hence, it can be said that the proposed enhanced 3C CPS architecture is playing a significant role and will be considered as a guideline and application for future smart manufacturing CPS systems and industries