Energy Efficient Mobile Edge Computing Framework Based on Secure Host Level Management for Resource Allocation

In Mobile Edge Computing (MEC), task scheduling is used to overcome the problems related to resource constraints in mobile devices. However, the conventional task allocation approaches failed to consider both the energy consumption and security requirements, that leads to higher energy consumption, increased latency and potential vulnerabilities. To overcome these issues, this research proposes a secure and energy-aware task scheduling technique by considering energy and security needs at host level while allocating tasks to Virtual Machines (VMs). The evaluation of energy cost at task allocation helps to enhance the energy efficiency. On the contrary, security is improved via the combination of authentication, confidentiality, and integrity mechanism that ensures secure task execution while maintaining low energy consumption. Thus, the proposed model i.e., multi-tier MEC architecture performs secure resource allocation and reduced energy utilization through effective VM selection and optimized scheduling. The results are evaluated based on energy consumption, average delay, and make span time. For instance, when the result is evaluated by considering energy consumption, the proposed approach consumed 7.3 J of energy when time slot is assigned as 10, while the existing Improved NSGA-II consumed higher energy of 8.2 J in the similar time slot.