Submission Deadline: 01 May 2023 Submit to Special Issue
In recent years, edge computing emerges as a complementary solution to traditional centralized cloud computing, by providing proximate resources close to near services and big data applications. Edge computing supports emerging intelligent big data applications (e.g., self-driving vehicles, autonomous systems, and VR/AR) with stringent requirements of fast response, low delay, high bandwidth, trust-sensitivity, and/or continued operation, despite its intermittent or incomplete connectivity. These trends have converged into the concept of Edge Intelligence, providing intelligence to ubiquitous big data applications with edge computing. The architecture of Edge Intelligence integrates the constituents of in-network computation and network processing in a common framework. Adding computation in the network nodes, beyond packet forwarding, enables more collaborative processing and improves the integration of communication and computation resource management. In-Network Computing meets various big data application requirements in the edge environment. Under such an architecture, the network provides not only a simple connection and can also be considered as an essential constituent of a distributed application.
Big Data Driven Edge Intelligence and In-Network Computing are still an emerging trend and many open issues are yet to be addressed in order to understand how they should evolve. This special issue solicits research papers describing significant and innovative research contributions to this field.