Abstract
With the proliferation of new technologies such as augmented and virtual reality, autonomous cars, 5G networks, drones, and IOT with smart cities, consumers of cloud computing are becoming the producers of data. Large volume of data is being produced at the edge of the network. This scenario insists the need for efficient real-time processing and communication at the network edge. Cloud capabilities must be distributed across the network to form an edge cloud, which places computing resources where the traffic is at the edge of the network. Edge cloud along with 5G services could also glint the next generation of robotic manufacturing. The anticipated low latency requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy are also inscribed by edge cloud. A number of giants like Nokia, AT&T, and Microsoft have emerged in the market to support edge cloud. This chapter wraps the features of edge cloud, the driving industries that are providing solutions, the use cases, benefits, and the challenges of edge cloud.
TopEdge Computing At A Glance
Modern industries need innovations in products, services, and trade model. The technologies like IoT, Cloud help the industries in digital transformation in every aspect of its operations in an efficient way. For a smart IoT application, that offer real time services require heterogeneous connections, data optimization techniques and security. The term IoT was first articulated by Kevin Ashton at Procter & Gamble (P&G) in 1999 (Ashton, 2009). Days are gone where the data is created and processed by Human being with computers. Today any electronic device that is capable of accessing an internet becomes a data producer. Starting from the wearable device in the health care, tablets, game controllers and smart phones referred as edge devices, use the Cloud data centers, increase the communication between the user and the Cloud. But the Cloud applications could not satisfy its users by rapid response. This elevates the need for the processing at the edge of the network. Only the optimized data are sent to the Cloud rather than forwarding the raw data produced from the edge devices.