Abstract:
Edge computing extends a traditional cloud data centre model often
by using a microdata centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users,
this results in improved application response times and reduces
load on the cloud data center (cdc). In this paper, we propose a
security and deadline aware scheduling algorithm called RT-SANE
(Real-Time Security Aware scheduling on the Network Edge). Applications with stringent privacy requirements are scheduled on
an mdc closer to the user, whereas others can be scheduled on a
cdc or a remote mdc. We also discuss how application performance
and network latency influence the choice of an mdc or cdc. The
intuition is that due to a lower communication latency between the
user & the mdc, more applications are able to meet their deadlines
when run on themdc. Conversely, applications with loose deadlines
may be executed on a cdc. In order to facilitate this, we also propose
a distributed orchestration architecture and protocol that is both
performance & security aware. Simulation results show that RTSANE offers superior real-time performance compared to a number
of other scheduling policies in an Edge computing environment,
while meeting application privacy requirements.