  Quick response to disasters is crucial for saving lives and reducing loss.
This requires low-latency uploading of situation information to the remote
command center. Since terrestrial infrastructures are often damaged in disaster
areas, non-terrestrial networks (NTNs) are preferable to provide network
coverage, and mobile edge computing (MEC) could be integrated to improve the
latency performance. Nevertheless, the communications and computing in
MEC-enabled NTNs are strongly coupled, which complicates the system design. In
this paper, an edge information hub (EIH) that incorporates communication,
computing and storage capabilities is proposed to synergize communication and
computing and enable systematic design. We first address the joint data
scheduling and resource orchestration problem to minimize the latency for
uploading sensing data. The problem is solved using an optimal resource
orchestration algorithm. On that basis, we propose the principles for resource
configuration of the EIH considering payload constraints on size, weight and
energy supply. Simulation results demonstrate the superiority of our proposed
scheme in reducing the overall upload latency, thus enabling quick emergency
rescue.
