QoS-Aware Task Scheduling in Cloud-Edge Environment

Since the limitations of user equipment, they do not have enough computing power to process large amounts data. At same time, it’s unbearable for users spend a long time uploading data remote cloud center. In order solve these problems above, concept mobile edge computing(MEC) is proposed. The and storage resources are placed close end reducing transmission delay. MEC can meet high real-time requirements equipment. face recognition application scenario, three-layer hierarchy MS-CE proposed shortcoming traditional centralized And distributed servers utilized at layer provide parallel capabilities. Aiming problem how perform task scheduling in geographically server, we propose based queue algorithm(TSBQ), which considers delay server load, carries out reasonable allocation policy. We evaluate TSBQ through simulation experiments. find architecture better than others more effective Corral Greedy.