Multi-objective edge server placement using the whale optimization algorithm and game theory

Due to the users’ mobility, new online applications, as well low processing power and limited energy of smart devices, traditional cloud computing models could not provide required services. Cloud service providers improve quality their services by moving some servers edge network closer mobile users. Considering nature users heterogeneous demands in different areas, optimal placement plays an important role increasing provided However, because large number servers, finding location these resources is a serious challenge. In proposed method this paper (MES-WG), first step, geographical area server deployment divided into smaller sub-regions reduce complexity problem. Then, using WOA algorithm search agent finds servers. next neural used for local all each area. Finally, game theory deployed convergence resource sub-regions. The experimental results show that reduces latency 33.5% also improves load balance on 28.2%, compared state-of-the-art methods.