Computing and storage models for edge computing

In this chapter, the author have examined the value proposition of such an approach, and the complementary benefits of edge, fog, and cloud resources. The author have explored different computing and storage models to support application composition and data storage on edge resources, alongside fog and cloud. There are also existing techniques and runtime strategies from cloud computing, Big Data platforms, distributed storage systems, and P2P systems that can be suitably extended and adapted to meet these unique needs. The author have offered two case studies of an edge-based video analytics platform for tracking, and an edge-centric storage system, which highlight these design elements. Lastly, the author have highlighted open problems in the context of computing and storage models for the edge.