Efficient Computation Offloading for Service Workflow of Mobile Applications in Mobile Edge Computing

Edge computing has become a promising solution to overcome the user equipment (UE) constraints such as low capacity and limited energy. A key edge challenge is providing services with service congestion latency, but resources of servers were limited. User task randomness network inhomogeneity brought considerable challenges limited-resource MEC systems. To solve these problems, presented paper proposed blocking- delay-aware schedule strategy for environment workflow offloading. First, was modeled in mobile applications buffer queue servers. Then, server collaboration area divided through division method based on clustering. Finally, an improved particle swarm optimization scheduling utilized this NP-hard problem. Many simulation results verified effectiveness scheme. This superior existing methods, which effectively reduces blocking probability execution delay ensures quality experience user.