Edge computing is based on the philosophy that the data should be processed within the locality of its source.Edge computing is entering a new phase where it gains wide acceptance from both academia and the industry as the com-mercial deployments are starting. Edge of the network presents a very dynamic environment with many devices, intermittent traffic, high mobility of the end user, heterogeneous application sand their requirements. In this scene, scalable and efficient management orchestration remains to be a problem. We focus on the workload orchestration problem in which execution locations for incoming tasks from mobile devices are decided within an edge computing infrastructure, including the global cloud as well. Workload orchestration is an intrinsically hard,online problem. We employ a Fuzzy Logic based approach to solve this problem by capturing the intuition of a real world administrator to get an automated management system. Our approach takes into consideration the properties of the off loaded task as well as the current state of the computational and networking resources. Detailed set of experiments are designed with Edge Cloud Sim to demonstrate the competitive performance of our approach for different service classes.
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