Mobile Edge Computing for Decentralized Systems
Ruta Gupta, Puneet Garg · 2024
Decentralized education delivery has the potential to be more effective, represent local objectives better, promote involvement, and, ultimately, increase coverage and quality. Decentralization has the potential to boost efficiency, which appeals to governments with tight budgets in particular. Recently, mobile edge computing (MEC) has gained attention as a viable method for relieving resource-constrained mobile devices of computation-intensive activities. Edge computing technologies have developed as a result of the fact that traditional cloud computing cannot serve the varied data processing needs of today's intelligent society, a fresh approach to computing for performing operations at the edge of the network. It stresses proximity to the consumer and the data source, in contrast to cloud computing. For processing and storing local, small-scale data at the network interface, it is lightweight. By offloading workloads to neighboring MEC servers, devices can increase the quality of their computing experiences. Nevertheless, it is difficult to create and compute offloading policies to reduce the long-term average computation cost in terms of power consumption and buffering delay when a MEC system with numerous mobile users, stochastic task arrivals, and wireless channels is taken into consideration. Decentralization should instead be seen as a continuum that ranges from decentralization to devolution.