With the trending and growing field, the cloud and the Internet of Things (IoT) an interconnection of physical devices and the on demand availability of computer resources especially data storage, there arises a need for efficient way to process, analyze and compute the data from the end devices which can be done through fog computing. With increasing needs for more efficient and effective data processing in fog nodes, in terms of efficiency this project aims at reducing the latency of data transfer and processing using fog nodes containerized with Docker and in terms of effectiveness while dealing with accidental failures or blackouts of a fog node the data processing being done on a node will automatically subsist on another fog node using dynamic deployment of containers.

An Efficient Approach Towards Surrogate Node Selection For Container Migration In Fog Computing

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An Efficient Approach Towards Surrogate Node Selection For Container Migration In Fog Computing