## 3 Challenges and Related Recommendation
### Future Research Challenges
#### 3.2.3 Cloud-Edge Computing  
Edge and cloud computing can be utilized to improve, secure, the advances the SAGS systems. The advancement of the web, IoT, and cloud computing has enabled diverse innovative wireless gateway devices to connect to the network, offering sophisticated and practical solutions for individuals. The notion of mobile-edge computing (MEC) was established. MEC units are to be deployed at the network's edge to service individuals, with edges referring to random places along the path between the data provider and the cloud computing core [107]. Every edge-computing component possesses computational, networking, and storage assets that can aid the cloud centre in managing activities. To enhance service efficiency, it is essential to develop an innovative network structure to accommodate the demanding SAGS. There are numerous tasks in SAGS. Adhering solely to the conventional cloud-computing model will eventually result in significant strain on the cloud-computing core, possibly leading to network congestion and paralysis, so impairing the general efficiency of the entire network. The process of collecting, interpreting, analyzing, and mining data is a collaborative effort between edge computing and conventional cloud computing. Therefore, merging edge computing will add significant advantages to the system. The edge-computing terminals are multi-purpose and can store user data among their many other functions. In order to expedite the reaction time to the demand, the working result and the information to be forwarded can be saved locally in the information storage table. To some degree, the network's accessibility is enhanced since data packets can be swiftly routed in the event of a disruption or malfunction. They are able to compute and extract the needs for task-oriented networking. Not only do edge-computing components manage the network and provide interface services, but they are also tasked with communicating with cloud-computing centers and other realms of the network. It receives feedback data and tasks from users and transfers it to a cloud-based data centre. Latency decrease, balance of load, and enhanced network security are some of the benefits that can be achieved through the use of edge computing [108]. As seen in Figure 14[109], the four sector networks are represented by four separate but interconnected processors that make up the cloud computing core. The central data centre in the cloud is able to exert control over SAGS on a worldwide scale by collecting data from the edge computing terminals in every network region. The use of SAGS supports far and wide connections including rural, maritime, and highlands. Through high-level convergence and collaborative augmentation, the 6G network will make possible the combined use of mobile communication, smart awareness, and processing power activities. The innovative extensive network known as the interconnected network of communication, detecting, and processing was created by combining all three of these technologies. Waveform layout and processing of signals [110], sensory wireless systems [111], integrated sensing and communication (ISAC) network-based detecting [112], calculating power offloading [113], partnership of multi-layer calculating power supplies [113; 114], and cloud-edge gateway asset distribution for the multi-layer widespread computing system are some of the primary areas of present investigation in the field of information system architecture and computer networks. Cloud/fog computing have made application offloading a popular subject. The decision-making process can be centralized (as is the case in major existing works) or decentralized, with a single or multiple user devices (UEs), and every app can be loaded in three different ways: coarse-grained application level, fine-grained task level, or percentage. Then, it can be loaded into the cloud/fog [115].