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 ( <tex-math notation="LaTeX">$mdc$</tex-math> ), 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 <tex-math notation="LaTeX">$mdc$</tex-math> (in proximity to a user) and a cloud data center ( <tex-math notation="LaTeX">$cdc$</tex-math> ) by taking account of network delay and security tags. Jobs submitted by a user are tagged as: private, semi-private and public, and <tex-math notation="LaTeX">$mdcs$</tex-math> and <tex-math notation="LaTeX">$cdcs$</tex-math> are classified as: trusted, semi-trusted and untrusted. RT-SANE executes private jobs on a user’s local <tex-math notation="LaTeX">$mdcs$</tex-math> or pre-trusted <tex-math notation="LaTeX">$cdcs$</tex-math> , and semi-private and public jobs on remote <tex-math notation="LaTeX">$mdcs$</tex-math> and <tex-math notation="LaTeX">$cdcs$</tex-math> . 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.