Internet of Things is growing every day, and with this growth, industries need to find more efficient and effective ways to manage their data , communications and security issues. It has become clear that current cloud computing systems won’t necessarily be able to handle the entire load of data and computations – and that’s where fog and Edge computing come into play. The main intent of Fog computing is to perform computations at the endpoint (IoT device) instead of the cloud. Edge computing also helps to execute IoT based application by reducing points of failure, as each device independently operates and determines which data to store locally and which data to send to the cloud for further analysis. The main intent of fog and Edge computing is to improve efficiency and reduce the amount of data transported to the cloud for processing, analysis and storage. This is often done to improve efficiency, though it may also be used for security and compliance reasons. For critical IoT based applications such as smart health care, virtual reality based applications and smart agriculture applications needs an adoption of the concept of fog and Edge on cloud. As in every new technology, some challenges face the vision of the Fog and Edge Computing, which are the resource provisioning strategies, scheduling and data security concerns. This workshop aims to investigate the opportunities and requirements for Fog and Edge Computing dominance. In addition, it seeks for novel contributions that help mitigating Fog and Edge Computing challenges. That is, the objective of workshop is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Edge Computing for IoT based applications.