###### Abstract
The optimization of monitoring technology through the use of the Internet of Things' technology requires the combination of these two technologies to fully benefit from them. Additionally, another technique, known as Mobile Cloud Computing (MCC), emerged and was enhanced by recent advances in the _\"cloud computing\"_ (CC) industry. By eliminating the requirement for physical equipment, the latter attempts to provide access to data and information at any time and from any location [6; 10; 11; 13]. MCC is defined as the integration of cloud and mobile computing, which makes mobile devices more capable. Additionally, it represents a modern strategy for businesses and organizations seeking creative services. Both the Internet of Things and video monitoring systems can benefit from using CC as a base, which will improve how they work [14; 15; 16]. At last, to verify the operation of our proposal and to evaluate our proposed algorithm, we used a Digital Twin scenario. Our simulation method is based on novel software such as CloudSim 3.0.3 and Cooja Contiki. The purpose of the Digital Twin scenario is to simulate the operation of a Smart Hospital, hosting a Cloud Server, through which IoT Healthcare data is transferred, managed, and processed. Digital Twin offers more reliable results for our proposal. By creating a virtual model that faithfully replicates a physical product, we employ the Digital Twin concept in our proposal to better forecast how well it will perform. After that, we were able to extract useful information about the reliability of our proposal, as well as the degree of improvement of the existing situation [17]. Thus, regarding a Smart Healthcare system [18], the concept of a Digital Twin scenario would be suitable due to sensitive medical data needing to be used. Moreover, the major goal of this work is initially to survey emerging technologies and systems of the telecommunications field, such as IoT, Monitoring, Big Data, and Cloud Computing, and then to find the open gaps in their integration model. This offered us the opportunity to discover novel ways to combine the aforementioned technologies in the era of achieving a better system. In addition to this, we have tried to achieve a better way of transmitting and processing video/image data through a Cloud-based Monitoring system by proposing a novel algorithm. Furthermore, to produce an algorithm for better transmission and management of IoT Big Data over a Cloud environment through a Digital Twin scenario, simulating virtual Cloud-Servers and a Smart Hospital installation in which data produced from a monitoring system is transferred, managed, and processed, we have tried to produce an algorithm combining all the different models of encryption algorithms. Finally, we can present the key contributions of our work as a result of the presentation of the fundamental theoretical data of the research topic of this work. This work's key contributions are:* Combine the Internet of Things (IoT) with Monitoring systems to achieve better use, and additionally meet the needs of future monitoring system requirements. * Introduce IoT as a recently developed technology in the telecommunications field, which processes video/image data. * Survey the technology and monitoring systems of the IoT to illustrate how their combination will improve certain types of Healthcare-IoT Monitoring systems. * Discuss the characteristics of the IoT that will improve the use of the types of monitoring systems. * Discusses some technical challenges of Multimedia in the IoT, based on Healthcare data, through a Cloud-based system. * Show how the Mobile Cloud Computing (MCC) technology, as a base technology, enhances the Healthcare performance of the IoT and has an impact on different sorts of monitoring systems. * Propose an algorithm approach for transmitting and processing video/image data through a Cloud-based Monitoring system. The rest of the work is structured as follows.