Toward Cost-Aware Computation Offloading in IoT-Based MEC Systems

The restrictions arising in Multi-access edge computing (MEC) paradigm as a consequence of lower number of computing resources in handling time-sensitive tasks generated by Internet of Things (IoT) applications have prompted the need for computation offloading. The heterogeneity of data in IoT-based MEC systems have made it crucial to device accurate models for characterizing the intrinsic behavior of these systems. In this view, the present study focuses on modeling IoT-based MEC system by using differential–difference equations to study the transient behavior of such systems. Further, by leveraging M/M/1 queue theoretic model the different performance statistics for the proposed system is computed. The numerical illustrations presented in the study depict the significance of the proposed framework and the need for offloading in resource constrained MEC systems.