  The needs of emerging applications, such as augmented and virtual reality,
federated machine learning, and autonomous driving, have motivated edge
computing--the push of computation capabilities to the edge. Various edge
computing architectures have emerged, including multi-access edge computing and
edge-cloud, all with the premise of reducing communication latency and
augmenting privacy. However, these architectures rely on static and
pre-deployed infrastructure, falling short in harnessing the abundant resources
at the network's edge. In this paper, we discuss the design of Pervasive Edge
Computing (PEC)--a democratized edge computing framework, which enables
end-user devices (e.g., smartphones, IoT devices, and vehicles) to dynamically
participate in a large-scale computing ecosystem. Our vision of the
democratized edge involves the real-time composition of services using
available edge resources like data, software, and compute-hardware from
multiple stakeholders. We discuss how the novel Named-Data Networking
architecture can facilitate service deployment, discovery, invocation, and
migration. We also discuss the economic models critical to the adoption of PEC
and the outstanding challenges for its full realization.
