Bi-objective IoT applications deployment in fog environment using parallel ACO

Nowadays, the Internet of Things (IoT) is inevitable in human daily life. Many IoT-based applications are executed on interoperable devices via the IoT-Fog-Cloud continuum to satisfy users’ requirements. Such applications are generally time-sensitive, so they must be executed in real-time. The time constraint satisfaction strongly depends on the strategy of application placement on processing nodes. In this paper, a multi-objective optimization strategy for deploying microservices of real-time IoT applications is presented, which is considered among the challenging problems in fog and edge environments. A bi-objective optimization model for three-level deadline-aware application services is proposed, which is solved by using a parallel version of the Ant Colony Optimization (ACO) metaheuristic. The simulation results using IFogSim۲, the new release of the famous Fog simulator IFogSim, show the superiority of the proposed approach compared to counterpart algorithms in terms of total resource wastage, total network latency, the main objective function, and execution time.

کلیدواژه ها:

Fog computing ، Internet of Things ، service placement problem ، real-time applications