Scheduling Real-Time Security Aware Tasks in Fog Networks

Fog computing brings the cloud closer to a user with the help of a micro data center (
$mdc$
), leading to lower response times for delay sensitive applications.
RT-SANE
(
R
eal-
T
ime
S
ecurity
A
ware scheduling on the
N
etwork
E
dge) supports batch and interactive applications, taking account of their deadline and security constraints. RT-SANE chooses between an
$mdc$
(in proximity to a user) and a cloud data center (
$cdc$
) by taking account of network delay and security tags. Jobs submitted by a user are tagged as: private, semi-private and public, and
$mdcs$
and
$cdcs$
are classified as: trusted, semi-trusted and untrusted. RT-SANE executes private jobs on a user’s local
$mdcs$
or pre-trusted
$cdcs$
, and semi-private and public jobs on remote
$mdcs$
and
$cdcs$
. A security and performance-aware distributed orchestration architecture and protocol is made use of in RT-SANE. For evaluation, workload traces from the CERIT-SC Cloud system are used. The effect of slow executing straggler jobs on the Fog framework are also considered, involving migration of such jobs. Experiments reveal that
RT-SANE
offers a higher “success ratio” (successfully completed jobs) to comparable algorithms, including consideration of security tags.