Offering Services in Mobile Edge-Cloud Networks That are Both Mobility-Aware and Delay-Sensitive

MEC, or mobile edge computing, has become a practical method for moving cloud computing to providing network services close to mobile customers at the network edge. care latency can be decreased by providing customer care at the cloud's edge, operating expenses can be cut, and the availability of network resources can be increased. Virtualization of network functions (NFV), which is a method for implementing various network service operations as software in cloudlets, which are servers or clusters of servers, and is a practical approach comparable to MEC. It is feasible to work on network administration sending, improve on network asset the executives, and upgrade versatile clients' administration experience by giving virtualized network administrations. On the other hand, mobile users have complete freedom of movement inside networks, and various users regularly make different service requests and have various latency and resource requirements. It is a tremendous effort to provide consistent and error-free virtualized network services within the constraints of the network's resources in a MEC network while also fulfilling the unique latency needs of mobile customers. This study focuses primarily on offering virtualized network function services to customers of mobile MEC, taking into consideration the needs for service latency and user mobility. To maximize total network utility and throughput over a defined time period, we first provide two unique optimization questions for user service request admissions. Finally, To determine whether the offered strategies are effective, we run experimental simulations. The outcomes of the experiments demonstrate the potential of the suggested algorithms.